From 9c2bddb7899c25722d6fbdc9338adfd9caafeb0b Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 3 Jun 2024 13:49:32 -0400 Subject: [PATCH 01/44] Typo in MatProcessor docstring --- ams/core/matprocessor.py | 41 +++++++++++++++++++++++++++++++++------- 1 file changed, 34 insertions(+), 7 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index c0615a1f..701fe84f 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -394,10 +394,12 @@ def _calc_b(self): def build_ptdf(self, dtype='float64', no_store=False): """ - Build the DC PTDF matrix and store it in the MParam `PTDF`. + Build the Power Transfer Distribution Factor (PTDF) matrix and store + it in the MParam `PTDF`. `PTDF[m, n]` means the increased line flow on line `m` when there is - 1 p.u. power injection at bus `n`. + 1 p.u. power injection at bus `n`. It is very similar to Generation + Shift Factor (GSF). It requires DC Bbus and Bf. @@ -417,6 +419,14 @@ def build_ptdf(self, dtype='float64', no_store=False): ------- PTDF : np.ndarray Power transfer distribution factor. + + References + ---------- + [1] PowerWorld Documentation, Power Transfer Distribution Factors, [Online] + + Available: + + https://www.powerworld.com/WebHelp/Content/MainDocumentation_HTML/Power_Transfer_Distribution_Factors.htm """ system = self.system @@ -450,10 +460,12 @@ def build_ptdf(self, dtype='float64', no_store=False): def build_lodf(self, dtype='float64', no_store=False): """ - Build the DC LODF matrix and store it in the MParam `LODF`. + Build the Line Outage Distribution Factor matrix and store it in the + MParam `LODF`. `LODF[m, n]` means the increased line flow on line `m` when there is 1 p.u. line flow decrease on line `n` due to line `n` outage. + It is also referred to as Branch Outage Distribution Factor (BODF). It requires DC PTDF and Cft. @@ -470,6 +482,14 @@ def build_lodf(self, dtype='float64', no_store=False): ------- LODF : np.ndarray Line outage distribution factor. + + References + ---------- + [1] PowerWorld Documentation, Line Outage Distribution Factors, [Online] + + Available: + + https://www.powerworld.com/WebHelp/Content/MainDocumentation_HTML/Line_Outage_Distribution_Factors_LODFs.htm """ nl = self.system.Line.n @@ -490,12 +510,11 @@ def build_lodf(self, dtype='float64', no_store=False): def build_otdf(self, line=None, dtype='float64'): """ - Build the DC OTDF matrix for line outage: - :math:`OTDF_k = PTDF + LODF[:, k] @ PTDF[k, ]`, - where k is the outage line locations. + Build the Outrage Transfer Distribution Factor (OTDF) matrix for line + k outage: :math:`OTDF_k = PTDF + LODF[:, k] @ PTDF[k, ]`. OTDF_k[m, n] means the increased line flow on line `m` when there is - 1 p.u. line flow decrease on line `k` due to line `k` outage. + 1 p.u. power injection at bus `n` when line `k` is outage. Note that the OTDF is not stored in the MatProcessor. @@ -514,6 +533,14 @@ def build_otdf(self, line=None, dtype='float64'): ------- OTDF : np.ndarray Line outage distribution factor. + + References + ---------- + [1] PowerWorld Documentation, Line Outage Distribution Factors, [Online] + + Available: + + https://www.powerworld.com/WebHelp/Content/MainDocumentation_HTML/Line_Outage_Distribution_Factors_LODFs.htm """ if self.PTDF._v is None: ptdf = self.build_ptdf(dtype=dtype, no_store=True) From da483bfe4929525d1e54b8236248f04fe50168e6 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 3 Jun 2024 15:22:15 -0400 Subject: [PATCH 02/44] Assign when declaring --- ams/core/matprocessor.py | 65 ++++++++++++++++++++++++++++------- ams/system.py | 3 +- docs/source/release-notes.rst | 5 +++ 3 files changed, 59 insertions(+), 14 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index 701fe84f..d58cde6c 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -3,6 +3,7 @@ """ import logging +import os from typing import Optional import numpy as np @@ -13,6 +14,7 @@ from andes.utils.misc import elapsed from andes.thirdparty.npfunc import safe_div +from andes.shared import pd from ams.opt.omodel import Param @@ -42,6 +44,12 @@ class MParam(Param): Matrix value of the parameter. owner : object, optional Owner of the MParam, usually the MatProcessor instance. + sparse : bool, optional + If True, the matrix is stored in sparse format. + col_names : list, optional + Column names of the matrix. + row_names : list, optional + Row names of the matrix. """ def __init__(self, @@ -50,7 +58,10 @@ def __init__(self, info: Optional[str] = None, unit: Optional[str] = None, v: Optional[np.ndarray] = None, + owner: Optional[object] = None, sparse: Optional[bool] = False, + col_names: Optional[list] = None, + row_names: Optional[list] = None, ): self.name = name self.tex_name = tex_name if (tex_name is not None) else name @@ -58,7 +69,37 @@ def __init__(self, self.unit = unit self._v = v self.sparse = sparse - self.owner = None + self.owner = owner + self.col_names = col_names + self.row_names = row_names + + def export_csv(self, path=None): + """ + Export the matrix to a CSV file. + + Parameters + ---------- + path : str, optional + Path to the output CSV file. + + Returns + ------- + str + The path of the exported csv file + """ + + if not path: + if self.owner.system.files.fullname is None: + logger.info("Input file name not detacted. Using `Untitled`.") + file_name = f'Untitled_{self.name}' + else: + file_name = os.path.splitext(self.owner.system.files.fullname)[0] + file_name += f'_{self.name}' + path = os.path.join(os.getcwd(), file_name + '.csv') + + pd.DataFrame(data=self.v, columns=self.col_names, index=self.row_names).to_csv(path) + + return file_name + '.csv' @property def v(self): @@ -108,39 +149,39 @@ def __init__(self, system): self.Cft = MParam(name='Cft', tex_name=r'C_{ft}', info='Line connectivity matrix', - v=None, sparse=True) + v=None, sparse=True, owner=self) self.CftT = MParam(name='CftT', tex_name=r'C_{ft}^{T}', info='Line connectivity matrix transpose', - v=None, sparse=True) + v=None, sparse=True, owner=self) self.Cg = MParam(name='Cg', tex_name=r'C_g', info='Generator connectivity matrix', - v=None, sparse=True) + v=None, sparse=True, owner=self) self.Cl = MParam(name='Cl', tex_name=r'Cl', info='Load connectivity matrix', - v=None, sparse=True) + v=None, sparse=True, owner=self) self.Csh = MParam(name='Csh', tex_name=r'C_{sh}', info='Shunt connectivity matrix', - v=None, sparse=True) + v=None, sparse=True, owner=self) self.Bbus = MParam(name='Bbus', tex_name=r'B_{bus}', info='Bus admittance matrix', - v=None, sparse=True) + v=None, sparse=True, owner=self) self.Bf = MParam(name='Bf', tex_name=r'B_{f}', info='Bf matrix', - v=None, sparse=True) + v=None, sparse=True, owner=self) self.Pbusinj = MParam(name='Pbusinj', tex_name=r'P_{bus}^{inj}', info='Bus power injection vector', - v=None,) + v=None, sparse=False, owner=self) self.Pfinj = MParam(name='Pfinj', tex_name=r'P_{f}^{inj}', info='Line power injection vector', - v=None,) + v=None, sparse=False, owner=self) self.PTDF = MParam(name='PTDF', tex_name=r'P_{TDF}', info='Power transfer distribution factor', - v=None) + v=None, sparse=False, owner=self) self.LODF = MParam(name='LODF', tex_name=r'O_{TDF}', info='Line outage distribution factor', - v=None) + v=None, sparse=False, owner=self) def build(self): """ diff --git a/ams/system.py b/ams/system.py index 4682f97c..b5b3de74 100644 --- a/ams/system.py +++ b/ams/system.py @@ -231,14 +231,13 @@ def _collect_group_data(self, items): """ Set the owner for routine attributes: ``RParam``, ``Var``, and ``RBaseService``. """ + # NOTE: here we skip assigning `MParam` owner as it is assined in `MatProcessor` for item_name, item in items.items(): if item.model in self.groups.keys(): item.is_group = True item.owner = self.groups[item.model] elif item.model in self.models.keys(): item.owner = self.models[item.model] - elif item.model == 'mats': - item.owner = self.mats else: logger.debug(f'item_name: {item_name}') msg = f'Model indicator \'{item.model}\' of <{item.rtn.class_name}.{item_name}>' diff --git a/docs/source/release-notes.rst b/docs/source/release-notes.rst index a4f49bdc..301a2e74 100644 --- a/docs/source/release-notes.rst +++ b/docs/source/release-notes.rst @@ -9,6 +9,11 @@ The APIs before v3.0.0 are in beta and may change without prior notice. Pre-v1.0.0 ========== +v0.9.8 (2024-xx-xx) +------------------- + +- Assign `MParam.owner` when declaring, which is originally assigned in `System._collect_group_data()` + v0.9.7 (2024-05-24) ------------------- From e03ff03e214259d9dbca8be64b22dbd94d2f043f Mon Sep 17 00:00:00 2001 From: jinningwang Date: Wed, 5 Jun 2024 11:43:07 -0400 Subject: [PATCH 03/44] Minor fix --- ams/core/matprocessor.py | 2 +- ams/system.py | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index d58cde6c..da9b202f 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -21,7 +21,7 @@ logger = logging.getLogger(__name__) -class MParam(Param): +class MParam(Param): """ Class for matrix parameters built from the system. diff --git a/ams/system.py b/ams/system.py index b5b3de74..29910e06 100644 --- a/ams/system.py +++ b/ams/system.py @@ -238,6 +238,8 @@ def _collect_group_data(self, items): item.owner = self.groups[item.model] elif item.model in self.models.keys(): item.owner = self.models[item.model] + elif item.model == 'mats': + pass else: logger.debug(f'item_name: {item_name}') msg = f'Model indicator \'{item.model}\' of <{item.rtn.class_name}.{item_name}>' From bad7136633ad3906e81255b6eb95ffd585ea178f Mon Sep 17 00:00:00 2001 From: jinningwang Date: Wed, 12 Jun 2024 09:19:42 -0400 Subject: [PATCH 04/44] Improve build_ptdf to allow partial building --- ams/core/matprocessor.py | 43 +++++++++++++++++++++++++++++----------- 1 file changed, 31 insertions(+), 12 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index da9b202f..e07280b5 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -8,6 +8,7 @@ import numpy as np +import scipy.sparse as sps from scipy.sparse import csr_matrix as c_sparse from scipy.sparse import csc_matrix as csc_sparse from scipy.sparse import lil_matrix as l_sparse @@ -21,7 +22,7 @@ logger = logging.getLogger(__name__) -class MParam(Param): +class MParam(Param): """ Class for matrix parameters built from the system. @@ -433,7 +434,7 @@ def _calc_b(self): return b - def build_ptdf(self, dtype='float64', no_store=False): + def build_ptdf(self, line=None, dtype='float64', no_dense=False, no_store=False): """ Build the Power Transfer Distribution Factor (PTDF) matrix and store it in the MParam `PTDF`. @@ -451,10 +452,16 @@ def build_ptdf(self, dtype='float64', no_store=False): Parameters ---------- + line: int, str, list, optional + Lines index for which the PTDF is calculated. It takes both single + or multiple line indices. Note that if line is given, the PTDF will + not be stored in the MParam. dtype : str, optional Data type of the PTDF matrix. Default is 'float64'. no_store : bool, optional If True, the PTDF will not be stored into `MatProcessor.PTDF._v`. + no_dense : bool, optional + If True, the PTDF will be calculated and stored in dense format. Returns ------- @@ -473,28 +480,40 @@ def build_ptdf(self, dtype='float64', no_store=False): # use first slack bus as reference slack bus slack = system.Slack.bus.v[0] + noslack = [system.Bus.idx2uid(bus) for bus in system.Bus.idx.v if bus != slack] # use first bus for voltage angle reference noref_idx = system.Bus.idx.v[1:] noref = system.Bus.idx2uid(noref_idx) - noslack = [system.Bus.idx2uid(bus) for bus in system.Bus.idx.v if bus != slack] + if line is None: + luid = system.Line.idx2uid(system.Line.idx.v) + elif isinstance(line, (int, str)): + try: + luid = [system.Line.idx2uid(line)] + except ValueError: + raise ValueError(f"Line {line} not found.") + elif isinstance(line, list): + luid = system.Line.idx2uid(line) # build other matrices if not built if not self.initialized: logger.debug("System matrices are not built. Building now.") self.build() - # use dense representation - Bbus = self.Bbus._v.todense().astype(dtype) - Bf = self.Bf._v.todense().astype(dtype) - - # initialize PTDF matrix - H = np.zeros((system.Line.n, system.Bus.n), dtype=dtype) - # calculate PTDF - H[:, noslack] = np.linalg.solve(Bbus[np.ix_(noslack, noref)].T, Bf[:, noref].T).T + H = np.zeros((len(luid), system.Bus.n), dtype=dtype) + if no_dense: + Bbus = self.Bbus._v + Bf = self.Bf._v + H = sps.lil_matrix((len(luid), system.Bus.n), dtype=dtype) + H[:, noslack] = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, Bf[np.ix_(luid, noref)].T).T + else: + Bbus = self.Bbus._v.todense().astype(dtype) + Bf = self.Bf._v.todense().astype(dtype) + H = np.zeros((len(luid), system.Bus.n), dtype=dtype) + H[:, noslack] = np.linalg.solve(Bbus[np.ix_(noslack, noref)].T, Bf[np.ix_(luid, noref)].T).T - if not no_store: + if -no_store or line is None: self.PTDF._v = H return H From 5fd55352a22d9d258dbeb99b3b2dcf5ba5412898 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Wed, 12 Jun 2024 09:23:49 -0400 Subject: [PATCH 05/44] Use LazyImport for scipy.sparse --- ams/core/matprocessor.py | 2 +- ams/shared.py | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index e07280b5..a1ebcabb 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -8,7 +8,6 @@ import numpy as np -import scipy.sparse as sps from scipy.sparse import csr_matrix as c_sparse from scipy.sparse import csc_matrix as csc_sparse from scipy.sparse import lil_matrix as l_sparse @@ -18,6 +17,7 @@ from andes.shared import pd from ams.opt.omodel import Param +from ams.shared import sps logger = logging.getLogger(__name__) diff --git a/ams/shared.py b/ams/shared.py index 48e39afd..554a2677 100644 --- a/ams/shared.py +++ b/ams/shared.py @@ -11,9 +11,11 @@ import cvxpy as cp from andes.shared import pd +from andes.utils.lazyimport import LazyImport logger = logging.getLogger(__name__) +sps = LazyImport('import scipy.sparse as sps') # NOTE: copied from CVXPY documentation MIP_SOLVERS = ['CBC', 'COPT', 'GLPK_MI', 'CPLEX', 'GUROBI', From a16b42dfdd2c6d48af70915d90f4686a7cb2b7b7 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Wed, 12 Jun 2024 09:25:22 -0400 Subject: [PATCH 06/44] Improve scipy.sparse import in MatProcessor --- ams/core/matprocessor.py | 16 ++++++---------- 1 file changed, 6 insertions(+), 10 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index a1ebcabb..f3639250 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -8,10 +8,6 @@ import numpy as np -from scipy.sparse import csr_matrix as c_sparse -from scipy.sparse import csc_matrix as csc_sparse -from scipy.sparse import lil_matrix as l_sparse - from andes.utils.misc import elapsed from andes.thirdparty.npfunc import safe_div from andes.shared import pd @@ -109,7 +105,7 @@ def v(self): """ # NOTE: scipy.sparse matrix will return 2D array # so we squeeze it here if only one row - if isinstance(self._v, (c_sparse, l_sparse, csc_sparse)): + if isinstance(self._v, (sps.csr_matrix, sps.l_sparse, sps.csc_sparse)): out = self._v.toarray() if out.shape[0] == 1: return np.squeeze(out) @@ -252,7 +248,7 @@ def build_cg(self): row = np.array([system.Bus.idx2uid(x) for x in on_gen_bus]) col = np.array([idx_gen.index(x) for x in on_gen_idx]) - self.Cg._v = c_sparse((np.ones(len(on_gen_idx)), (row, col)), (nb, ng)) + self.Cg._v = sps.csr_matrix((np.ones(len(on_gen_idx)), (row, col)), (nb, ng)) return self.Cg._v def build_cl(self): @@ -279,7 +275,7 @@ def build_cl(self): row = np.array([system.Bus.idx2uid(x) for x in on_load_bus]) col = np.array([system.PQ.idx2uid(x) for x in on_load_idx]) - self.Cl._v = c_sparse((np.ones(len(on_load_idx)), (row, col)), (nb, npq)) + self.Cl._v = sps.csr_matrix((np.ones(len(on_load_idx)), (row, col)), (nb, npq)) return self.Cl._v def build_csh(self): @@ -306,7 +302,7 @@ def build_csh(self): row = np.array([system.Bus.idx2uid(x) for x in on_shunt_bus]) col = np.array([system.Shunt.idx2uid(x) for x in on_shunt_idx]) - self.Csh._v = c_sparse((np.ones(len(on_shunt_idx)), (row, col)), (nb, nsh)) + self.Csh._v = sps.csr_matrix((np.ones(len(on_shunt_idx)), (row, col)), (nb, nsh)) return self.Csh._v def build_cft(self): @@ -337,7 +333,7 @@ def build_cft(self): data_line[len(on_line_idx):] = -1 row_line = np.array([system.Bus.idx2uid(x) for x in on_line_bus1 + on_line_bus2]) col_line = np.array([system.Line.idx2uid(x) for x in on_line_idx + on_line_idx]) - self.Cft._v = c_sparse((data_line, (row_line, col_line)), (nb, nl)) + self.Cft._v = sps.csr_matrix((data_line, (row_line, col_line)), (nb, nl)) self.CftT._v = self.Cft._v.T return self.Cft._v @@ -365,7 +361,7 @@ def build_bf(self): f = system.Bus.idx2uid(system.Line.get(src='bus1', attr='v', idx=idx_line)) t = system.Bus.idx2uid(system.Line.get(src='bus2', attr='v', idx=idx_line)) ir = np.r_[range(nl), range(nl)] # double set of row indices - self.Bf._v = c_sparse((np.r_[b, -b], (ir, np.r_[f, t])), (nl, nb)) + self.Bf._v = sps.csr_matrix((np.r_[b, -b], (ir, np.r_[f, t])), (nl, nb)) return self.Bf._v def build_bbus(self): From 13d8004409ac346b115df60415ba91add5aba107 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Wed, 12 Jun 2024 09:27:25 -0400 Subject: [PATCH 07/44] Improve scipy.sparse import in test_mats --- tests/test_mats.py | 22 ++++++++++------------ 1 file changed, 10 insertions(+), 12 deletions(-) diff --git a/tests/test_mats.py b/tests/test_mats.py index 263be5b6..fdfc7176 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -1,11 +1,9 @@ import unittest import numpy as np -from scipy.sparse import csr_matrix as c_sparse -from scipy.sparse import lil_matrix as l_sparse - import ams from ams.core.matprocessor import MatProcessor, MParam +from ams.shared import sps class TestMatProcessorBasic(unittest.TestCase): @@ -30,9 +28,9 @@ def test_MParam(self): """ Test `MParam`. """ - one_vec = MParam(v=c_sparse(np.ones(self.ss.Bus.n))) - # check if `_v` is `c_sparse` instance - self.assertIsInstance(one_vec._v, c_sparse) + one_vec = MParam(v=sps.csr_matrix(np.ones(self.ss.Bus.n))) + # check if `_v` is `sps.csr_matrix` instance + self.assertIsInstance(one_vec._v, sps.csr_matrix) # check if `v` is 1D-array self.assertEqual(one_vec.v.shape, (self.ss.Bus.n,)) @@ -41,25 +39,25 @@ def test_c(self): Test connectivity matrices. """ # Test `Cg` - self.assertIsInstance(self.mats.Cg._v, (c_sparse, l_sparse)) + self.assertIsInstance(self.mats.Cg._v, (sps.csr_matrix, sps.lil_matrix)) self.assertIsInstance(self.mats.Cg.v, np.ndarray) self.assertEqual(self.mats.Cg._v.max(), 1) np.testing.assert_equal(self.mats.Cg._v.sum(axis=0), np.ones((1, self.ng))) # Test `Cl` - self.assertIsInstance(self.mats.Cl._v, (c_sparse, l_sparse)) + self.assertIsInstance(self.mats.Cl._v, (sps.csr_matrix, sps.lil_matrix)) self.assertIsInstance(self.mats.Cl.v, np.ndarray) self.assertEqual(self.mats.Cl._v.max(), 1) np.testing.assert_equal(self.mats.Cl._v.sum(axis=0), np.ones((1, self.nD))) # Test `Csh` - self.assertIsInstance(self.mats.Csh._v, (c_sparse, l_sparse)) + self.assertIsInstance(self.mats.Csh._v, (sps.csr_matrix, sps.lil_matrix)) self.assertIsInstance(self.mats.Csh.v, np.ndarray) self.assertEqual(self.mats.Csh._v.max(), 1) np.testing.assert_equal(self.mats.Csh._v.sum(axis=0), np.ones((1, self.nsh))) # Test `Cft` - self.assertIsInstance(self.mats.Cft._v, (c_sparse, l_sparse)) + self.assertIsInstance(self.mats.Cft._v, (sps.csr_matrix, sps.lil_matrix)) self.assertIsInstance(self.mats.Cft.v, np.ndarray) self.assertEqual(self.mats.Cft._v.max(), 1) np.testing.assert_equal(self.mats.Cft._v.sum(axis=0), np.zeros((1, self.nl))) @@ -76,14 +74,14 @@ def test_bf(self): """ Test `Bf`. """ - self.assertIsInstance(self.mats.Bf._v, (c_sparse, l_sparse)) + self.assertIsInstance(self.mats.Bf._v, (sps.csr_matrix, sps.lil_matrix)) np.testing.assert_equal(self.mats.Bf._v.shape, (self.nl, self.nb)) def test_bbus(self): """ Test `Bbus`. """ - self.assertIsInstance(self.mats.Bbus._v, (c_sparse, l_sparse)) + self.assertIsInstance(self.mats.Bbus._v, (sps.csr_matrix, sps.lil_matrix)) np.testing.assert_equal(self.mats.Bbus._v.shape, (self.nb, self.nb)) def test_pfinj(self): From 502a498df45f3e44e1e528052151e40611519ea5 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Wed, 12 Jun 2024 09:29:07 -0400 Subject: [PATCH 08/44] Improve scipy.sparse import in omodel --- ams/opt/omodel.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/ams/opt/omodel.py b/ams/opt/omodel.py index 5cafee23..bdeb6f1c 100644 --- a/ams/opt/omodel.py +++ b/ams/opt/omodel.py @@ -9,13 +9,14 @@ import numpy as np import scipy.sparse as spr -from scipy.sparse import csr_matrix as c_sparse # NOQA from andes.core.common import Config from andes.utils.misc import elapsed import cvxpy as cp +from ams.shared import sps # NOQA + logger = logging.getLogger(__name__) @@ -245,7 +246,7 @@ def parse(self): val = "self.v" if self.sparse: if not spr.issparse(self.v): - val = "c_sparse(self.v)" + val = "sps.csr_matrix(self.v)" exec(f"self.optz.value = {val}", globals(), locals()) except ValueError: msg = f"Parameter <{self.name}> has non-numeric value, " From eaacc5476183fbecdbd7f4168fe18eba1297dd34 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Wed, 12 Jun 2024 09:49:44 -0400 Subject: [PATCH 09/44] Allow incremental build PTDF --- ams/core/matprocessor.py | 53 ++++++++++++++++++++++++++++------------ 1 file changed, 38 insertions(+), 15 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index f3639250..5b2547e2 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -430,21 +430,29 @@ def _calc_b(self): return b - def build_ptdf(self, line=None, dtype='float64', no_dense=False, no_store=False): + def build_ptdf(self, line=None, dtype='float64', + no_dense=False, no_store=False, + incremental=False, chunk_size=1000): """ Build the Power Transfer Distribution Factor (PTDF) matrix and store - it in the MParam `PTDF`. + it in the MParam `PTDF` by default. `PTDF[m, n]` means the increased line flow on line `m` when there is 1 p.u. power injection at bus `n`. It is very similar to Generation Shift Factor (GSF). - It requires DC Bbus and Bf. - Note that there is discrepency between the PTDF-based line flow and DCOPF calcualted line flow. The gap is ignorable for small cases. - Try to use 'float32' for dtype if memory is a concern. + It requires DC Bbus and Bf. + + For large cases where memory is a concern, use `no_dense=True` to + calculate the PTDF in sparse format. + Further, use `incremental=True` to calculate the sparse PTDF in chunks, + where no_dense will be ignored. + + The returned PTDF is in scipy.sparse.lil_matrix format if `no_dense=True` + or `incremental=True`. Parameters ---------- @@ -458,10 +466,14 @@ def build_ptdf(self, line=None, dtype='float64', no_dense=False, no_store=False) If True, the PTDF will not be stored into `MatProcessor.PTDF._v`. no_dense : bool, optional If True, the PTDF will be calculated and stored in dense format. + incremental : bool, optional + If True, the sparse PTDF will be calculated in chunks to save memory. + chunk_size : int, optional + Chunk size for incremental calculation. Returns ------- - PTDF : np.ndarray + PTDF : np.ndarray, scipy.sparse.lil_matrix Power transfer distribution factor. References @@ -497,17 +509,28 @@ def build_ptdf(self, line=None, dtype='float64', no_dense=False, no_store=False) logger.debug("System matrices are not built. Building now.") self.build() - H = np.zeros((len(luid), system.Bus.n), dtype=dtype) - if no_dense: - Bbus = self.Bbus._v - Bf = self.Bf._v + nbus = system.Bus.n + nline = len(luid) + + Bbus = self.Bbus._v + Bf = self.Bf._v + + if incremental: H = sps.lil_matrix((len(luid), system.Bus.n), dtype=dtype) - H[:, noslack] = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, Bf[np.ix_(luid, noref)].T).T + + for start in range(0, nline, chunk_size): + end = min(start + chunk_size, nline) + H[start:end, noslack] = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, + Bf[np.ix_(luid[start:end], noref)].T).T + + if no_dense: + H = sps.lil_matrix((nline, nbus), dtype=dtype) + H[:, noslack] = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, + Bf[np.ix_(luid, noref)].T).T else: - Bbus = self.Bbus._v.todense().astype(dtype) - Bf = self.Bf._v.todense().astype(dtype) - H = np.zeros((len(luid), system.Bus.n), dtype=dtype) - H[:, noslack] = np.linalg.solve(Bbus[np.ix_(noslack, noref)].T, Bf[np.ix_(luid, noref)].T).T + H = np.zeros((nline, nbus), dtype=dtype) + H[:, noslack] = np.linalg.solve(Bbus.todense()[np.ix_(noslack, noref)].T, + Bf.todense()[np.ix_(luid, noref)].T).T if -no_store or line is None: self.PTDF._v = H From 90795da9ce0674f9d672775954e9c73445d071eb Mon Sep 17 00:00:00 2001 From: jinningwang Date: Wed, 12 Jun 2024 09:54:12 -0400 Subject: [PATCH 10/44] Remove parameter no_dense --- ams/core/matprocessor.py | 19 +++---------------- 1 file changed, 3 insertions(+), 16 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index 5b2547e2..d8856028 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -430,8 +430,7 @@ def _calc_b(self): return b - def build_ptdf(self, line=None, dtype='float64', - no_dense=False, no_store=False, + def build_ptdf(self, line=None, dtype='float64', no_store=False, incremental=False, chunk_size=1000): """ Build the Power Transfer Distribution Factor (PTDF) matrix and store @@ -446,13 +445,8 @@ def build_ptdf(self, line=None, dtype='float64', It requires DC Bbus and Bf. - For large cases where memory is a concern, use `no_dense=True` to - calculate the PTDF in sparse format. - Further, use `incremental=True` to calculate the sparse PTDF in chunks, - where no_dense will be ignored. - - The returned PTDF is in scipy.sparse.lil_matrix format if `no_dense=True` - or `incremental=True`. + For large cases where memory is a concern, use `incremental=True` to + calculate the sparse PTDF in chunks in the format of scipy.sparse.lil_matrix. Parameters ---------- @@ -464,8 +458,6 @@ def build_ptdf(self, line=None, dtype='float64', Data type of the PTDF matrix. Default is 'float64'. no_store : bool, optional If True, the PTDF will not be stored into `MatProcessor.PTDF._v`. - no_dense : bool, optional - If True, the PTDF will be calculated and stored in dense format. incremental : bool, optional If True, the sparse PTDF will be calculated in chunks to save memory. chunk_size : int, optional @@ -522,11 +514,6 @@ def build_ptdf(self, line=None, dtype='float64', end = min(start + chunk_size, nline) H[start:end, noslack] = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, Bf[np.ix_(luid[start:end], noref)].T).T - - if no_dense: - H = sps.lil_matrix((nline, nbus), dtype=dtype) - H[:, noslack] = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, - Bf[np.ix_(luid, noref)].T).T else: H = np.zeros((nline, nbus), dtype=dtype) H[:, noslack] = np.linalg.solve(Bbus.todense()[np.ix_(noslack, noref)].T, From 11000ec0bf4a20403206934052cdc8c178a28f38 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Wed, 12 Jun 2024 14:38:27 -0400 Subject: [PATCH 11/44] [WIP] Incrementally build PTDF and LODF --- ams/core/matprocessor.py | 112 ++++++++++++++++++++++++++++++++++----- 1 file changed, 98 insertions(+), 14 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index d8856028..c23e0368 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -4,13 +4,14 @@ import logging import os +import sys from typing import Optional import numpy as np -from andes.utils.misc import elapsed from andes.thirdparty.npfunc import safe_div -from andes.shared import pd +from andes.shared import pd, tqdm, tqdm_nb +from andes.utils.misc import elapsed, is_notebook from ams.opt.omodel import Param from ams.shared import sps @@ -143,6 +144,7 @@ class MatProcessor: def __init__(self, system): self.system = system self.initialized = False + self.pbar = None self.Cft = MParam(name='Cft', tex_name=r'C_{ft}', info='Line connectivity matrix', @@ -431,7 +433,7 @@ def _calc_b(self): return b def build_ptdf(self, line=None, dtype='float64', no_store=False, - incremental=False, chunk_size=1000): + incremental=False, chunk_size=1000, no_tqdm=False): """ Build the Power Transfer Distribution Factor (PTDF) matrix and store it in the MParam `PTDF` by default. @@ -457,11 +459,13 @@ def build_ptdf(self, line=None, dtype='float64', no_store=False, dtype : str, optional Data type of the PTDF matrix. Default is 'float64'. no_store : bool, optional - If True, the PTDF will not be stored into `MatProcessor.PTDF._v`. + If False, the PTDF will be stored into `MatProcessor.PTDF._v`. incremental : bool, optional If True, the sparse PTDF will be calculated in chunks to save memory. chunk_size : int, optional Chunk size for incremental calculation. + no_tqdm : bool, optional + If True, the progress bar will be disabled. Returns ------- @@ -508,12 +512,37 @@ def build_ptdf(self, line=None, dtype='float64', no_store=False, Bf = self.Bf._v if incremental: + # initialize progress bar + if is_notebook(): + self.pbar = tqdm_nb(total=100, unit='%', file=sys.stdout, + disable=no_tqdm) + else: + self.pbar = tqdm(total=100, unit='%', ncols=80, ascii=True, + file=sys.stdout, disable=no_tqdm) + + self.pbar.update(0) + last_pc = 0 + H = sps.lil_matrix((len(luid), system.Bus.n), dtype=dtype) for start in range(0, nline, chunk_size): end = min(start + chunk_size, nline) H[start:end, noslack] = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, Bf[np.ix_(luid[start:end], noref)].T).T + + # show progress in percentage + perc = np.round(min((end / nline) * 100, 100), 2) + + perc_diff = perc - last_pc + if perc_diff >= 1: + self.pbar.update(perc_diff) + last_pc = perc + + # finish progress bar + self.pbar.update(100 - last_pc) + # removed `pbar` so that System object can be serialized + self.pbar.close() + self.pbar = None else: H = np.zeros((nline, nbus), dtype=dtype) H[:, noslack] = np.linalg.solve(Bbus.todense()[np.ix_(noslack, noref)].T, @@ -524,7 +553,8 @@ def build_ptdf(self, line=None, dtype='float64', no_store=False, return H - def build_lodf(self, dtype='float64', no_store=False): + def build_lodf(self, dtype='float64', no_store=False, + incremental=False, chunk_size=1000, no_tqdm=False): """ Build the Line Outage Distribution Factor matrix and store it in the MParam `LODF`. @@ -535,18 +565,25 @@ def build_lodf(self, dtype='float64', no_store=False): It requires DC PTDF and Cft. - Try to use 'float32' for dtype if memory is a concern. + For large cases where memory is a concern, use `incremental=True` to + calculate the sparse LODF in chunks in the format of scipy.sparse.lil_matrix. Parameters ---------- dtype : str, optional Data type of the LODF matrix. Default is 'float64'. no_store : bool, optional - If True, the LODF will not be stored into `MatProcessor.LODF._v`. + If False, the LODF will be stored into `MatProcessor.LODF._v`. + incremental : bool, optional + If True, the sparse LODF will be calculated in chunks to save memory. + chunk_size : int, optional + Chunk size for incremental calculation. + no_tqdm : bool, optional + If True, the progress bar will be disabled. Returns ------- - LODF : np.ndarray + LODF : np.ndarray, scipy.sparse.lil_matrix Line outage distribution factor. References @@ -561,18 +598,65 @@ def build_lodf(self, dtype='float64', no_store=False): # build PTDF if not built if self.PTDF._v is None: - ptdf = self.build_ptdf(dtype=dtype, no_store=True) + ptdf = self.build_ptdf(dtype=dtype, no_store=True, + incremental=incremental, chunk_size=chunk_size) + elif isinstance(self.PTDF._v, np.ndarray) and incremental: + ptdf = sps.lil_matrix(self.PTDF._v) else: ptdf = self.PTDF._v - H = ptdf * self.Cft._v - h = np.diag(H, 0) - LODF = safe_div(H, np.ones((nl, nl)) - np.ones((nl, 1)) * h.T) - LODF = LODF - np.diag(np.diag(LODF)) - np.eye(nl, nl) + if incremental: + # initialize progress bar + if is_notebook(): + self.pbar = tqdm_nb(total=100, unit='%', file=sys.stdout, + disable=no_tqdm) + else: + self.pbar = tqdm(total=100, unit='%', ncols=80, ascii=True, + file=sys.stdout, disable=no_tqdm) + + self.pbar.update(0) + last_pc = 0 + + H = ptdf @ self.Cft._v + h = H.diagonal(0).reshape(1, -1) + rden = sps.csr_matrix(np.ones((nl, nl)) - np.ones((nl, 1)) @ h) + rden.data = safe_div(np.ones(rden.data.shape), rden.data) + LODF = H.multiply(rden) + LODF -= sps.diags(LODF.diagonal(), 0) + LODF -= sps.eye(nl, nl) + + # for start in range(0, nl, chunk_size): + # end = min(start + chunk_size, nl) + # H_chunk = ptdf[start:end, :] * self.Cft._v + # h_chunk = H_chunk.diagonal(0) + # dmr = sps.csc_matrix(np.ones((end - start, nl)) - np.ones((end - start, 1)) * h_chunk.T) + # dmr.data = safe_div(np.ones_like(dmr.data), dmr.data) + # LODF[start:end, :] = H_chunk.multiply(dmr) + # LODF[start:end, :] -= sps.diags(LODF[start:end, :].diagonal(), 0) + # LODF[start:end, :] -= sps.eye(end - start, nl) + + # # show progress in percentage + # perc = np.round(min((end / nl) * 100, 100), 2) + + # perc_diff = perc - last_pc + # if perc_diff >= 1: + # self.pbar.update(perc_diff) + # last_pc = perc + + # finish progress bar + self.pbar.update(100 - last_pc) + # removed `pbar` so that System object can be serialized + self.pbar.close() + self.pbar = None + else: + H = ptdf * self.Cft._v + h = np.diag(H, 0).reshape(1, -1) + LODF = safe_div(H, np.ones((nl, nl)) - np.ones((nl, 1)) @ h) + LODF = LODF - np.diag(np.diag(LODF)) - np.eye(nl, nl) if not no_store: self.LODF._v = LODF.astype(dtype) - return LODF.astype(dtype) + return self.LODF._v def build_otdf(self, line=None, dtype='float64'): """ From 4e97a26d6f788e59581f9119680e7ecaf9f665c0 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Wed, 12 Jun 2024 14:57:16 -0400 Subject: [PATCH 12/44] Add decimals check in PTDF incremental calculation --- ams/core/matprocessor.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index c23e0368..23f3e3da 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -433,7 +433,8 @@ def _calc_b(self): return b def build_ptdf(self, line=None, dtype='float64', no_store=False, - incremental=False, chunk_size=1000, no_tqdm=False): + incremental=False, chunk_size=1000, no_tqdm=False, + decimals=4): """ Build the Power Transfer Distribution Factor (PTDF) matrix and store it in the MParam `PTDF` by default. @@ -466,6 +467,9 @@ def build_ptdf(self, line=None, dtype='float64', no_store=False, Chunk size for incremental calculation. no_tqdm : bool, optional If True, the progress bar will be disabled. + decimals : int, optional + Number of decimal places to round in the incremental + calculation. Returns ------- @@ -527,8 +531,10 @@ def build_ptdf(self, line=None, dtype='float64', no_store=False, for start in range(0, nline, chunk_size): end = min(start + chunk_size, nline) - H[start:end, noslack] = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, - Bf[np.ix_(luid[start:end], noref)].T).T + sol = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, + Bf[np.ix_(luid[start:end], noref)].T).T + sol.data = np.round(sol.data, decimals) + H[start:end, noslack] = sol # show progress in percentage perc = np.round(min((end / nline) * 100, 100), 2) From 7fd6aded56e886a749776884dfe672a1ca566e6c Mon Sep 17 00:00:00 2001 From: jinningwang Date: Thu, 13 Jun 2024 00:04:10 -0400 Subject: [PATCH 13/44] Fix PTDF no_store logic --- ams/core/matprocessor.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index 23f3e3da..d8fbfaad 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -106,7 +106,7 @@ def v(self): """ # NOTE: scipy.sparse matrix will return 2D array # so we squeeze it here if only one row - if isinstance(self._v, (sps.csr_matrix, sps.l_sparse, sps.csc_sparse)): + if isinstance(self._v, (sps.csr_matrix, sps.lil_matrix, sps.csc_matrix)): out = self._v.toarray() if out.shape[0] == 1: return np.squeeze(out) @@ -455,7 +455,7 @@ def build_ptdf(self, line=None, dtype='float64', no_store=False, ---------- line: int, str, list, optional Lines index for which the PTDF is calculated. It takes both single - or multiple line indices. Note that if line is given, the PTDF will + or multiple line indices. Note that if `line` is given, the PTDF will not be stored in the MParam. dtype : str, optional Data type of the PTDF matrix. Default is 'float64'. @@ -554,7 +554,7 @@ def build_ptdf(self, line=None, dtype='float64', no_store=False, H[:, noslack] = np.linalg.solve(Bbus.todense()[np.ix_(noslack, noref)].T, Bf.todense()[np.ix_(luid, noref)].T).T - if -no_store or line is None: + if (not no_store) & (line is None): self.PTDF._v = H return H From 7f12219ebf168a2353c5bd5854f46ce5564955b6 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Sun, 16 Jun 2024 14:25:48 -0400 Subject: [PATCH 14/44] Remove parameter dtype in MatProcessor --- ams/core/matprocessor.py | 42 ++++++++++++++++------------------------ 1 file changed, 17 insertions(+), 25 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index d8fbfaad..61790485 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -432,7 +432,7 @@ def _calc_b(self): return b - def build_ptdf(self, line=None, dtype='float64', no_store=False, + def build_ptdf(self, line=None, no_store=False, incremental=False, chunk_size=1000, no_tqdm=False, decimals=4): """ @@ -457,8 +457,6 @@ def build_ptdf(self, line=None, dtype='float64', no_store=False, Lines index for which the PTDF is calculated. It takes both single or multiple line indices. Note that if `line` is given, the PTDF will not be stored in the MParam. - dtype : str, optional - Data type of the PTDF matrix. Default is 'float64'. no_store : bool, optional If False, the PTDF will be stored into `MatProcessor.PTDF._v`. incremental : bool, optional @@ -473,7 +471,7 @@ def build_ptdf(self, line=None, dtype='float64', no_store=False, Returns ------- - PTDF : np.ndarray, scipy.sparse.lil_matrix + PTDF : np.ndarray or scipy.sparse.lil_matrix Power transfer distribution factor. References @@ -527,13 +525,13 @@ def build_ptdf(self, line=None, dtype='float64', no_store=False, self.pbar.update(0) last_pc = 0 - H = sps.lil_matrix((len(luid), system.Bus.n), dtype=dtype) + H = sps.lil_matrix((len(luid), system.Bus.n)) for start in range(0, nline, chunk_size): end = min(start + chunk_size, nline) sol = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, Bf[np.ix_(luid[start:end], noref)].T).T - sol.data = np.round(sol.data, decimals) + sol = np.round(sol, decimals) H[start:end, noslack] = sol # show progress in percentage @@ -550,17 +548,20 @@ def build_ptdf(self, line=None, dtype='float64', no_store=False, self.pbar.close() self.pbar = None else: - H = np.zeros((nline, nbus), dtype=dtype) + H = np.zeros((nline, nbus)) H[:, noslack] = np.linalg.solve(Bbus.todense()[np.ix_(noslack, noref)].T, Bf.todense()[np.ix_(luid, noref)].T).T + # reshape results into 1D array if only one line + if isinstance(line, (int, str)): + H = H[0, :] + if (not no_store) & (line is None): self.PTDF._v = H return H - def build_lodf(self, dtype='float64', no_store=False, - incremental=False, chunk_size=1000, no_tqdm=False): + def build_lodf(self, no_store=False, incremental=False, chunk_size=1000, no_tqdm=False): """ Build the Line Outage Distribution Factor matrix and store it in the MParam `LODF`. @@ -576,8 +577,6 @@ def build_lodf(self, dtype='float64', no_store=False, Parameters ---------- - dtype : str, optional - Data type of the LODF matrix. Default is 'float64'. no_store : bool, optional If False, the LODF will be stored into `MatProcessor.LODF._v`. incremental : bool, optional @@ -604,12 +603,9 @@ def build_lodf(self, dtype='float64', no_store=False, # build PTDF if not built if self.PTDF._v is None: - ptdf = self.build_ptdf(dtype=dtype, no_store=True, - incremental=incremental, chunk_size=chunk_size) - elif isinstance(self.PTDF._v, np.ndarray) and incremental: + ptdf = self.build_ptdf(no_store=True, incremental=incremental, chunk_size=chunk_size) + if incremental and isinstance(self.PTDF._v, np.ndarray): ptdf = sps.lil_matrix(self.PTDF._v) - else: - ptdf = self.PTDF._v if incremental: # initialize progress bar @@ -661,10 +657,10 @@ def build_lodf(self, dtype='float64', no_store=False, LODF = LODF - np.diag(np.diag(LODF)) - np.eye(nl, nl) if not no_store: - self.LODF._v = LODF.astype(dtype) + self.LODF._v = LODF return self.LODF._v - def build_otdf(self, line=None, dtype='float64'): + def build_otdf(self, line=None): """ Build the Outrage Transfer Distribution Factor (OTDF) matrix for line k outage: :math:`OTDF_k = PTDF + LODF[:, k] @ PTDF[k, ]`. @@ -674,16 +670,12 @@ def build_otdf(self, line=None, dtype='float64'): Note that the OTDF is not stored in the MatProcessor. - Try to use 'float32' for dtype if memory is a concern. - Parameters ---------- line : int, str, list, optional Lines index for which the OTDF is calculated. It takes both single or multiple line indices. If not given, the first line is used by default. - dtype : str, optional - Data type of the OTDF matrix. Default is 'float64'. Returns ------- @@ -699,12 +691,12 @@ def build_otdf(self, line=None, dtype='float64'): https://www.powerworld.com/WebHelp/Content/MainDocumentation_HTML/Line_Outage_Distribution_Factors_LODFs.htm """ if self.PTDF._v is None: - ptdf = self.build_ptdf(dtype=dtype, no_store=True) + ptdf = self.build_ptdf(no_store=True) else: ptdf = self.PTDF._v if self.LODF._v is None: - lodf = self.build_lodf(dtype=dtype, no_store=True) + lodf = self.build_lodf(no_store=True) else: lodf = self.LODF._v @@ -719,4 +711,4 @@ def build_otdf(self, line=None, dtype='float64'): luid = self.system.Line.idx2uid(line) otdf = ptdf + lodf[:, luid] @ ptdf[luid, :] - return otdf.astype(dtype) + return otdf From 52b125ec34aae88d56c7ee2332bf37ce66333c57 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Sun, 16 Jun 2024 14:31:58 -0400 Subject: [PATCH 15/44] Typo --- ams/core/matprocessor.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index 61790485..0572b08d 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -466,8 +466,7 @@ def build_ptdf(self, line=None, no_store=False, no_tqdm : bool, optional If True, the progress bar will be disabled. decimals : int, optional - Number of decimal places to round in the incremental - calculation. + Number of decimal places to round in the incremental calculation. Returns ------- From 0453da9cd79a17a5c3341a1a28e51081d22af584 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Sun, 16 Jun 2024 14:32:41 -0400 Subject: [PATCH 16/44] Typo --- ams/core/matprocessor.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index 0572b08d..86592d07 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -466,7 +466,8 @@ def build_ptdf(self, line=None, no_store=False, no_tqdm : bool, optional If True, the progress bar will be disabled. decimals : int, optional - Number of decimal places to round in the incremental calculation. + Number of decimal places to round in the incremental calculation, + default is 4. Returns ------- From 0402e09775721ffe9b8819246c6bdc216c622870 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Sun, 16 Jun 2024 14:49:13 -0400 Subject: [PATCH 17/44] [WIP] Refactor test_mats, PTDF part --- tests/test_mats.py | 231 +++++++++++++++++++++++++++++++++------------ 1 file changed, 173 insertions(+), 58 deletions(-) diff --git a/tests/test_mats.py b/tests/test_mats.py index fdfc7176..2ad25678 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -99,80 +99,195 @@ def test_pbusinj(self): np.testing.assert_equal(self.mats.Pbusinj._v.shape, (self.nb,)) -class TestMatProcessorTDFs(unittest.TestCase): - """ - Test PTDF, LODF, OTDF. - """ +# class TestMatProcessorTDFs(unittest.TestCase): +# """ +# Test PTDF, LODF, OTDF. +# """ - def setUp(self) -> None: - self.cases = ['matpower/case14.m', - 'matpower/case39.m', - 'matpower/case118.m'] +# def setUp(self) -> None: +# self.cases = ['matpower/case14.m', +# 'matpower/case39.m', +# 'matpower/case118.m'] - def test_ptdf_before_mat_init(self): - """ - Test `PTDF` before MatProcessor initialization. - """ +# def test_ptdf_before_mat_init(self): +# """ +# Test `build_PTDF()` before MatProcessor initialization `build()`. +# """ - for case in self.cases: - ss = ams.load(ams.get_case(case), - setup=True, default_config=True, no_output=True) +# for case in self.cases: +# ss = ams.load(ams.get_case(case), +# setup=True, default_config=True, no_output=True) - _ = ss.mats.build_ptdf(no_store=True) - self.assertIsNone(ss.mats.PTDF._v) +# # --- test no_store --- +# ptdf = ss.mats.build_ptdf(no_store=True) +# self.assertIsNone(ss.mats.PTDF._v) +# self.assertEqual(ss.mats.PTDF._v.shape, (ss.Line.n, ss.Bus.n)) - _ = ss.mats.build_ptdf(dtype='float64', no_store=False) - self.assertEqual(ss.mats.PTDF._v.shape, (ss.Line.n, ss.Bus.n)) - self.assertEqual(ss.mats.PTDF._v.dtype, np.float64) +# def test_ptdf_line(self): +# """ +# Test `build_PTDF()` with line. +# """ - ptdf = ss.mats.build_ptdf(dtype='float32', no_store=True) - self.assertEqual(ptdf.dtype, np.float32) +# for case in self.cases: +# ss = ams.load(ams.get_case(case), +# setup=True, default_config=True, no_output=True) - def test_lodf_before_ptdf(self): - """ - Test `LODF` before `PTDF`. - """ +# flag_build = ss.mats.build() +# self.assertTrue(flag_build) - for case in self.cases: - ss = ams.load(ams.get_case(case), - setup=True, default_config=True, no_output=True) +# # TODO: test different line inputs - _ = ss.mats.build_lodf(no_store=True) - self.assertIsNone(ss.mats.LODF._v) +# def test_lodf_before_ptdf(self): +# """ +# Test `LODF` before `PTDF`. +# """ - _ = ss.mats.build_lodf(dtype='float64', no_store=False) - self.assertEqual(ss.mats.LODF._v.dtype, np.float64) +# for case in self.cases: +# ss = ams.load(ams.get_case(case), +# setup=True, default_config=True, no_output=True) - lodf = ss.mats.build_lodf(dtype='float32', no_store=True) - self.assertEqual(lodf.dtype, np.float32) +# _ = ss.mats.build_lodf(no_store=True) +# self.assertIsNone(ss.mats.LODF._v) - def test_otdf_before_lodf(self): - """ - Test `OTDF`. - """ +# _ = ss.mats.build_lodf(no_store=False) +# self.assertEqual(ss.mats.LODF._v.shape, (ss.Line.n, ss.Line.n)) + +# def test_otdf_before_lodf(self): +# """ +# Test `OTDF`. +# """ - for case in self.cases: - ss = ams.load(ams.get_case(case), - setup=True, default_config=True, no_output=True) - # build matrices - ss.mats.build() +# for case in self.cases: +# ss = ams.load(ams.get_case(case), +# setup=True, default_config=True, no_output=True) +# # build matrices +# ss.mats.build() - otdf64 = ss.mats.build_otdf(dtype='float64') - self.assertEqual(otdf64.dtype, np.float64) +# otdf64 = ss.mats.build_otdf() +# self.assertEqual(otdf64.shape, (ss.Line.n, ss.Bus.n)) - otdf32 = ss.mats.build_otdf(dtype='float32') - self.assertEqual(otdf32.dtype, np.float32) +# # input str +# otdf_l2 = ss.mats.build_otdf(line=ss.Line.idx.v[2]) +# self.assertEqual(otdf_l2.shape, (ss.Line.n, ss.Bus.n)) - np.testing.assert_allclose(otdf64, otdf32, atol=1e-3) +# # input list with single element +# otdf_l2 = ss.mats.build_otdf(line=ss.Line.idx.v[2:3]) +# self.assertEqual(otdf_l2.shape, (ss.Line.n, ss.Bus.n)) - # input str - otdf_l2 = ss.mats.build_otdf(line=ss.Line.idx.v[2]) - self.assertEqual(otdf_l2.shape, (ss.Line.n, ss.Bus.n)) +# # input list with multiple elements +# otdf_l23 = ss.mats.build_otdf(line=ss.Line.idx.v[2:5]) +# self.assertEqual(otdf_l23.shape, (ss.Line.n, ss.Bus.n)) - # input list with single element - otdf_l2 = ss.mats.build_otdf(line=ss.Line.idx.v[2:3]) - self.assertEqual(otdf_l2.shape, (ss.Line.n, ss.Bus.n)) - # input list with multiple elements - otdf_l23 = ss.mats.build_otdf(line=ss.Line.idx.v[2:5]) - self.assertEqual(otdf_l23.shape, (ss.Line.n, ss.Bus.n)) +class TestBuildPTDF(unittest.TestCase): + """ + Test build PTDF. + """ + + def setUp(self) -> None: + self.ss = ams.load(ams.get_case('matpower/case14.m'), + setup=True, default_config=True, no_output=True) + self.nl = self.ss.Line.n + self.nb = self.ss.Bus.n + self.dec = 4 + + self.assertFalse(self.ss.mats.initialized) + # NOTE: here we test `no_store=True` option + self.ptdf_full = self.ss.mats.build_ptdf(no_store=True) + self.assertTrue(self.ss.mats.initialized) + + def test_ptdf_before_mat_init(self): + """ + Test PTDF before MatProcessor initialization `mats.init()`. + """ + self.assertIsNone(self.ss.mats.PTDF._v) + self.assertEqual(self.ptdf_full.shape, (self.nl, self.nb)) + + def test_ptdf_lines(self): + """ + Test PTDF with `line` inputs. + """ + # NOTE: when `line` is given, `PTDF` should not be stored even with `no_store=False` + + # input str + ptdf_l2 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2], no_store=False) + self.assertIsNone(self.ss.mats.PTDF._v) + np.testing.assert_array_almost_equal(ptdf_l2, self.ptdf_full[2, :], decimal=self.dec) + + # input list with single element + ptdf_l2p = self.ss.mats.build_ptdf(line=[self.ss.Line.idx.v[2]], no_store=False) + self.assertIsNone(self.ss.mats.PTDF._v) + np.testing.assert_array_almost_equal(ptdf_l2p, self.ptdf_full[[2], :], decimal=self.dec) + + # input list with multiple elements + ptdf_l23 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], no_store=False) + self.assertIsNone(self.ss.mats.PTDF._v) + np.testing.assert_array_almost_equal(ptdf_l23, self.ptdf_full[2:4, :], decimal=self.dec) + + def test_ptdf_incremental_lines(self): + """ + Test PTDF incremental build with `line` inputs. + """ + # input str + ptdf_l2 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2], incremental=True, no_store=False, + no_tqdm=True) + np.testing.assert_array_almost_equal(ptdf_l2.todense(), + self.ptdf_full[[2], :], + decimal=self.dec) + self.assertTrue(sps.isspmatrix_lil(ptdf_l2)) + self.assertIsNone(self.ss.mats.PTDF._v) + + # input list with single element + ptdf_l2p = self.ss.mats.build_ptdf(line=[self.ss.Line.idx.v[2]], incremental=True, no_store=False, + no_tqdm=False) + np.testing.assert_array_almost_equal(ptdf_l2p.todense(), + self.ptdf_full[[2], :], + decimal=self.dec) + self.assertTrue(sps.isspmatrix_lil(ptdf_l2p)) + self.assertIsNone(self.ss.mats.PTDF._v) + + # input list with multiple elements + ptdf_l23 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, no_store=False) + np.testing.assert_array_almost_equal(ptdf_l23.todense(), + self.ptdf_full[2:4, :], + decimal=self.dec) + + # test decimals + ptdf_l23_dec2 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, + no_store=False, decimals=2) + self.assertTrue(sps.isspmatrix_lil(ptdf_l23_dec2)) + self.assertIsNone(self.ss.mats.PTDF._v) + np.testing.assert_array_almost_equal(ptdf_l23_dec2.todense(), + self.ptdf_full[2:4, :], + decimal=2) + + def test_ptdf_incrementa_chunk_size(self): + """ + Test PTDF incremental build with chunk size. + """ + # chunk_size < line length + ptdf_c1 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, + no_store=False, chunk_size=1) + self.assertTrue(sps.isspmatrix_lil(ptdf_c1)) + self.assertIsNone(self.ss.mats.PTDF._v) + np.testing.assert_array_almost_equal(ptdf_c1.todense(), + self.ptdf_full[2:4, :], + decimal=self.dec) + + # chunk_size = line length + ptdf_c2 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, + no_store=False, chunk_size=2) + self.assertTrue(sps.isspmatrix_lil(ptdf_c2)) + self.assertIsNone(self.ss.mats.PTDF._v) + np.testing.assert_array_almost_equal(ptdf_c2.todense(), + self.ptdf_full[2:4, :], + decimal=self.dec) + + # chunk_size > line length + ptdf_c5 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, + no_store=False, chunk_size=5) + self.assertTrue(sps.isspmatrix_lil(ptdf_c5)) + self.assertIsNone(self.ss.mats.PTDF._v) + np.testing.assert_array_almost_equal(ptdf_c5.todense(), + self.ptdf_full[2:4, :], + decimal=self.dec) From e0a84d8c99eee5f1e57abae79fb6659b47ded702 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Sun, 16 Jun 2024 14:56:10 -0400 Subject: [PATCH 18/44] [WIP] Refactor test_mats, LODF part in progress --- tests/test_mats.py | 31 ++++++++++++++++++++++++++++++- 1 file changed, 30 insertions(+), 1 deletion(-) diff --git a/tests/test_mats.py b/tests/test_mats.py index 2ad25678..3e18c092 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -201,7 +201,8 @@ def test_ptdf_before_mat_init(self): Test PTDF before MatProcessor initialization `mats.init()`. """ self.assertIsNone(self.ss.mats.PTDF._v) - self.assertEqual(self.ptdf_full.shape, (self.nl, self.nb)) + _ = self.ss.mats.build_ptdf(no_store=False) + self.assertEqual(self.ss.mats.PTDF._v.shape, (self.nl, self.nb)) def test_ptdf_lines(self): """ @@ -291,3 +292,31 @@ def test_ptdf_incrementa_chunk_size(self): np.testing.assert_array_almost_equal(ptdf_c5.todense(), self.ptdf_full[2:4, :], decimal=self.dec) + + +class TestBuildLODF(unittest.TestCase): + """ + Test build LODF. + """ + + def setUp(self) -> None: + self.ss = ams.load(ams.get_case('matpower/case14.m'), + setup=True, default_config=True, no_output=True) + self.nl = self.ss.Line.n + self.nb = self.ss.Bus.n + self.dec = 4 + + self.assertFalse(self.ss.mats.initialized) + self.lodf_full = self.ss.mats.build_lodf(no_store=True) + self.assertTrue(self.ss.mats.initialized) + + def test_lodf_before_ptdf(self): + """ + Test LODF before PTDF. + """ + self.assertIsNone(self.ss.mats.PTDF._v) + self.assertIsNone(self.ss.mats.LODF._v) + _ = self.ss.mats.build_lodf(no_store=False) + self.assertEqual(self.ss.mats.LODF._v.shape, (self.nl, self.nl)) + # PTDF should not be stored for requested building + self.assertIsNone(self.ss.mats.PTDF._v) From 92fff59bc1529a8bfb82f20c9cb59c99098ed15e Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 14:24:33 -0400 Subject: [PATCH 19/44] Add incremental building in MatProcessor.build_lodf --- ams/core/matprocessor.py | 111 +++++++++++++++++++++++++-------------- 1 file changed, 71 insertions(+), 40 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index 86592d07..b62a5320 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -433,8 +433,7 @@ def _calc_b(self): return b def build_ptdf(self, line=None, no_store=False, - incremental=False, chunk_size=1000, no_tqdm=False, - decimals=4): + incremental=False, chunk_size=1000, no_tqdm=False): """ Build the Power Transfer Distribution Factor (PTDF) matrix and store it in the MParam `PTDF` by default. @@ -465,9 +464,6 @@ def build_ptdf(self, line=None, no_store=False, Chunk size for incremental calculation. no_tqdm : bool, optional If True, the progress bar will be disabled. - decimals : int, optional - Number of decimal places to round in the incremental calculation, - default is 4. Returns ------- @@ -525,13 +521,13 @@ def build_ptdf(self, line=None, no_store=False, self.pbar.update(0) last_pc = 0 - H = sps.lil_matrix((len(luid), system.Bus.n)) + H = sps.lil_matrix((nline, system.Bus.n)) + # NOTE: for PTDF, we are building rows by rows for start in range(0, nline, chunk_size): end = min(start + chunk_size, nline) sol = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, Bf[np.ix_(luid[start:end], noref)].T).T - sol = np.round(sol, decimals) H[start:end, noslack] = sol # show progress in percentage @@ -561,7 +557,8 @@ def build_ptdf(self, line=None, no_store=False, return H - def build_lodf(self, no_store=False, incremental=False, chunk_size=1000, no_tqdm=False): + def build_lodf(self, line=None, no_store=False, + incremental=False, chunk_size=1000, no_tqdm=False): """ Build the Line Outage Distribution Factor matrix and store it in the MParam `LODF`. @@ -577,6 +574,10 @@ def build_lodf(self, no_store=False, incremental=False, chunk_size=1000, no_tqdm Parameters ---------- + line: int, str, list, optional + Lines index for which the LODF is calculated. It takes both single + or multiple line indices. Note that if `line` is given, the LODF will + not be stored in the MParam. no_store : bool, optional If False, the LODF will be stored into `MatProcessor.LODF._v`. incremental : bool, optional @@ -599,8 +600,23 @@ def build_lodf(self, no_store=False, incremental=False, chunk_size=1000, no_tqdm https://www.powerworld.com/WebHelp/Content/MainDocumentation_HTML/Line_Outage_Distribution_Factors_LODFs.htm """ - nl = self.system.Line.n + system = self.system + + if line is None: + luid = system.Line.idx2uid(system.Line.idx.v) + elif isinstance(line, (int, str)): + try: + luid = [system.Line.idx2uid(line)] + except ValueError: + raise ValueError(f"Line {line} not found.") + elif isinstance(line, list): + luid = system.Line.idx2uid(line) + # NOTE: here we use nbranch to differentiate it with nline + nbranch = system.Line.n + nline = len(luid) + + ptdf = self.PTDF._v # build PTDF if not built if self.PTDF._v is None: ptdf = self.build_ptdf(no_store=True, incremental=incremental, chunk_size=chunk_size) @@ -619,31 +635,34 @@ def build_lodf(self, no_store=False, incremental=False, chunk_size=1000, no_tqdm self.pbar.update(0) last_pc = 0 - H = ptdf @ self.Cft._v - h = H.diagonal(0).reshape(1, -1) - rden = sps.csr_matrix(np.ones((nl, nl)) - np.ones((nl, 1)) @ h) - rden.data = safe_div(np.ones(rden.data.shape), rden.data) - LODF = H.multiply(rden) - LODF -= sps.diags(LODF.diagonal(), 0) - LODF -= sps.eye(nl, nl) - - # for start in range(0, nl, chunk_size): - # end = min(start + chunk_size, nl) - # H_chunk = ptdf[start:end, :] * self.Cft._v - # h_chunk = H_chunk.diagonal(0) - # dmr = sps.csc_matrix(np.ones((end - start, nl)) - np.ones((end - start, 1)) * h_chunk.T) - # dmr.data = safe_div(np.ones_like(dmr.data), dmr.data) - # LODF[start:end, :] = H_chunk.multiply(dmr) - # LODF[start:end, :] -= sps.diags(LODF[start:end, :].diagonal(), 0) - # LODF[start:end, :] -= sps.eye(end - start, nl) - - # # show progress in percentage - # perc = np.round(min((end / nl) * 100, 100), 2) - - # perc_diff = perc - last_pc - # if perc_diff >= 1: - # self.pbar.update(perc_diff) - # last_pc = perc + LODF = sps.lil_matrix((nbranch, nline)) + + # NOTE: for LODF, we are doing it columns by columns + # reshape luid to list of list by chunk_size + luidp = [luid[i:i + chunk_size] for i in range(0, len(luid), chunk_size)] + for luidi in luidp: + H_chunk = ptdf @ self.Cft._v[:, luidi] + h_chunk = H_chunk.diagonal(-luidi[0]) + rden = safe_div(np.ones(H_chunk.shape), + np.tile(np.ones_like(h_chunk) - h_chunk, (nbranch, 1))) + H_chunk = H_chunk.multiply(rden).tolil() + # NOTE: use lil_matrix to set diagonal values as -1 + rsid = sps.diags(H_chunk.diagonal(-luidi[0])) + sps.eye(H_chunk.shape[1]) + if H_chunk.shape[0] > rsid.shape[0]: + Rsid = sps.lil_matrix(H_chunk.shape) + Rsid[luidi, :] = rsid + else: + Rsid = rsid + H_chunk = H_chunk - Rsid + LODF[:, [luid.index(i) for i in luidi]] = H_chunk + + # show progress in percentage + perc = np.round(min((luid.index(luidi[-1]) / nline) * 100, 100), 2) + + perc_diff = perc - last_pc + if perc_diff >= 1: + self.pbar.update(perc_diff) + last_pc = perc # finish progress bar self.pbar.update(100 - last_pc) @@ -651,14 +670,26 @@ def build_lodf(self, no_store=False, incremental=False, chunk_size=1000, no_tqdm self.pbar.close() self.pbar = None else: - H = ptdf * self.Cft._v - h = np.diag(H, 0).reshape(1, -1) - LODF = safe_div(H, np.ones((nl, nl)) - np.ones((nl, 1)) @ h) - LODF = LODF - np.diag(np.diag(LODF)) - np.eye(nl, nl) + H = ptdf @ self.Cft._v[:, luid] + h = np.diag(H, -luid[0]) + LODF = safe_div(H, + np.tile(np.ones_like(h) - h, (nbranch, 1))) + # # NOTE: reset the diagonal elements to -1 + rsid = np.diag(np.diag(LODF, -luid[0])) + np.eye(nline, nline) + if LODF.shape[0] > rsid.shape[0]: + Rsid = np.zeros_like(LODF) + Rsid[luid, :] = rsid + else: + Rsid = rsid + LODF = LODF - Rsid + + # reshape results into 1D array if only one line + if isinstance(line, (int, str)): + LODF = LODF[:, 0] - if not no_store: + if (not no_store) & (line is None): self.LODF._v = LODF - return self.LODF._v + return LODF def build_otdf(self, line=None): """ From 841124925d4794387afb3055bd61d2299e0ca992 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 14:24:53 -0400 Subject: [PATCH 20/44] Refactor test_mats LODF part --- tests/test_mats.py | 74 ++++++++++++++++++++++++++++++---------------- 1 file changed, 49 insertions(+), 25 deletions(-) diff --git a/tests/test_mats.py b/tests/test_mats.py index 3e18c092..9f05a612 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -189,7 +189,6 @@ def setUp(self) -> None: setup=True, default_config=True, no_output=True) self.nl = self.ss.Line.n self.nb = self.ss.Bus.n - self.dec = 4 self.assertFalse(self.ss.mats.initialized) # NOTE: here we test `no_store=True` option @@ -213,17 +212,17 @@ def test_ptdf_lines(self): # input str ptdf_l2 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2], no_store=False) self.assertIsNone(self.ss.mats.PTDF._v) - np.testing.assert_array_almost_equal(ptdf_l2, self.ptdf_full[2, :], decimal=self.dec) + np.testing.assert_array_almost_equal(ptdf_l2, self.ptdf_full[2, :]) # input list with single element ptdf_l2p = self.ss.mats.build_ptdf(line=[self.ss.Line.idx.v[2]], no_store=False) self.assertIsNone(self.ss.mats.PTDF._v) - np.testing.assert_array_almost_equal(ptdf_l2p, self.ptdf_full[[2], :], decimal=self.dec) + np.testing.assert_array_almost_equal(ptdf_l2p, self.ptdf_full[[2], :]) # input list with multiple elements ptdf_l23 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], no_store=False) self.assertIsNone(self.ss.mats.PTDF._v) - np.testing.assert_array_almost_equal(ptdf_l23, self.ptdf_full[2:4, :], decimal=self.dec) + np.testing.assert_array_almost_equal(ptdf_l23, self.ptdf_full[2:4, :]) def test_ptdf_incremental_lines(self): """ @@ -233,8 +232,7 @@ def test_ptdf_incremental_lines(self): ptdf_l2 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2], incremental=True, no_store=False, no_tqdm=True) np.testing.assert_array_almost_equal(ptdf_l2.todense(), - self.ptdf_full[[2], :], - decimal=self.dec) + self.ptdf_full[[2], :]) self.assertTrue(sps.isspmatrix_lil(ptdf_l2)) self.assertIsNone(self.ss.mats.PTDF._v) @@ -242,25 +240,14 @@ def test_ptdf_incremental_lines(self): ptdf_l2p = self.ss.mats.build_ptdf(line=[self.ss.Line.idx.v[2]], incremental=True, no_store=False, no_tqdm=False) np.testing.assert_array_almost_equal(ptdf_l2p.todense(), - self.ptdf_full[[2], :], - decimal=self.dec) + self.ptdf_full[[2], :]) self.assertTrue(sps.isspmatrix_lil(ptdf_l2p)) self.assertIsNone(self.ss.mats.PTDF._v) # input list with multiple elements ptdf_l23 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, no_store=False) np.testing.assert_array_almost_equal(ptdf_l23.todense(), - self.ptdf_full[2:4, :], - decimal=self.dec) - - # test decimals - ptdf_l23_dec2 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, - no_store=False, decimals=2) - self.assertTrue(sps.isspmatrix_lil(ptdf_l23_dec2)) - self.assertIsNone(self.ss.mats.PTDF._v) - np.testing.assert_array_almost_equal(ptdf_l23_dec2.todense(), - self.ptdf_full[2:4, :], - decimal=2) + self.ptdf_full[2:4, :]) def test_ptdf_incrementa_chunk_size(self): """ @@ -272,8 +259,7 @@ def test_ptdf_incrementa_chunk_size(self): self.assertTrue(sps.isspmatrix_lil(ptdf_c1)) self.assertIsNone(self.ss.mats.PTDF._v) np.testing.assert_array_almost_equal(ptdf_c1.todense(), - self.ptdf_full[2:4, :], - decimal=self.dec) + self.ptdf_full[2:4, :],) # chunk_size = line length ptdf_c2 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, @@ -281,8 +267,7 @@ def test_ptdf_incrementa_chunk_size(self): self.assertTrue(sps.isspmatrix_lil(ptdf_c2)) self.assertIsNone(self.ss.mats.PTDF._v) np.testing.assert_array_almost_equal(ptdf_c2.todense(), - self.ptdf_full[2:4, :], - decimal=self.dec) + self.ptdf_full[2:4, :],) # chunk_size > line length ptdf_c5 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, @@ -290,8 +275,7 @@ def test_ptdf_incrementa_chunk_size(self): self.assertTrue(sps.isspmatrix_lil(ptdf_c5)) self.assertIsNone(self.ss.mats.PTDF._v) np.testing.assert_array_almost_equal(ptdf_c5.todense(), - self.ptdf_full[2:4, :], - decimal=self.dec) + self.ptdf_full[2:4, :],) class TestBuildLODF(unittest.TestCase): @@ -320,3 +304,43 @@ def test_lodf_before_ptdf(self): self.assertEqual(self.ss.mats.LODF._v.shape, (self.nl, self.nl)) # PTDF should not be stored for requested building self.assertIsNone(self.ss.mats.PTDF._v) + + def test_lodf_lines(self): + """ + Test LODF with `line` inputs. + """ + # input str + lodf_l2 = self.ss.mats.build_lodf(line=self.ss.Line.idx.v[2], no_store=False) + np.testing.assert_array_almost_equal(lodf_l2, self.lodf_full[:, 2], decimal=self.dec) + + # input list with single element + lodf_l2p = self.ss.mats.build_lodf(line=[self.ss.Line.idx.v[2]], no_store=False) + np.testing.assert_array_almost_equal(lodf_l2p, self.lodf_full[:, [2]], decimal=self.dec) + + # input list with multiple elements + lodf_l23 = self.ss.mats.build_lodf(line=self.ss.Line.idx.v[2:4], no_store=False) + np.testing.assert_array_almost_equal(lodf_l23, self.lodf_full[:, 2:4], decimal=self.dec) + + def test_lodf_incremental_lines(self): + """ + Test LODF incremental build with `line` inputs. + """ + # input str + lodf_l2 = self.ss.mats.build_lodf(line=self.ss.Line.idx.v[2], incremental=True, no_store=False) + np.testing.assert_array_almost_equal(lodf_l2.todense(), + self.lodf_full[:, [2]], + decimal=self.dec) + self.assertTrue(sps.isspmatrix_lil(lodf_l2)) + + # input list with single element + lodf_l2p = self.ss.mats.build_lodf(line=[self.ss.Line.idx.v[2]], incremental=True, no_store=False) + np.testing.assert_array_almost_equal(lodf_l2p.todense(), + self.lodf_full[:, [2]], + decimal=self.dec) + self.assertTrue(sps.isspmatrix_lil(lodf_l2p)) + + # input list with multiple elements + lodf_l23 = self.ss.mats.build_lodf(line=self.ss.Line.idx.v[2:4], incremental=True, no_store=False) + np.testing.assert_array_almost_equal(lodf_l23.todense(), + self.lodf_full[:, 2:4], + decimal=self.dec) From 43474260e8b585ee681eb2477edddf88b3d42239 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 14:38:06 -0400 Subject: [PATCH 21/44] In MatProcessor.build_lodf, use incrementall if PTDF._v is sparse --- ams/core/matprocessor.py | 14 +++++--------- 1 file changed, 5 insertions(+), 9 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index b62a5320..95fb5768 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -623,7 +623,7 @@ def build_lodf(self, line=None, no_store=False, if incremental and isinstance(self.PTDF._v, np.ndarray): ptdf = sps.lil_matrix(self.PTDF._v) - if incremental: + if incremental | (isinstance(ptdf, sps.spmatrix)): # initialize progress bar if is_notebook(): self.pbar = tqdm_nb(total=100, unit='%', file=sys.stdout, @@ -721,15 +721,11 @@ def build_otdf(self, line=None): https://www.powerworld.com/WebHelp/Content/MainDocumentation_HTML/Line_Outage_Distribution_Factors_LODFs.htm """ - if self.PTDF._v is None: - ptdf = self.build_ptdf(no_store=True) - else: - ptdf = self.PTDF._v + if (self.PTDF._v is None) or (self.LODF._v is None): + raise ValueError("Internal PTDF and LODF are not available. Please build them first.") - if self.LODF._v is None: - lodf = self.build_lodf(no_store=True) - else: - lodf = self.LODF._v + ptdf = self.PTDF._v + lodf = self.LODF._v if line is None: luid = [0] From e168b83c58bbb1ad41f7aff17bfff9bb8d29b337 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 17:52:09 -0400 Subject: [PATCH 22/44] Typo --- ams/core/matprocessor.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index 95fb5768..c1e79dff 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -710,7 +710,7 @@ def build_otdf(self, line=None): Returns ------- - OTDF : np.ndarray + OTDF : np.ndarray, scipy.sparse.csr_matrix Line outage distribution factor. References From d09dedf749dcda9e943a8693ae937d06d905267a Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 17:58:50 -0400 Subject: [PATCH 23/44] Refactor test_mats, OTDF part --- tests/test_mats.py | 146 ++++++++++++++++++++------------------------- 1 file changed, 66 insertions(+), 80 deletions(-) diff --git a/tests/test_mats.py b/tests/test_mats.py index 9f05a612..e4153869 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -99,86 +99,6 @@ def test_pbusinj(self): np.testing.assert_equal(self.mats.Pbusinj._v.shape, (self.nb,)) -# class TestMatProcessorTDFs(unittest.TestCase): -# """ -# Test PTDF, LODF, OTDF. -# """ - -# def setUp(self) -> None: -# self.cases = ['matpower/case14.m', -# 'matpower/case39.m', -# 'matpower/case118.m'] - -# def test_ptdf_before_mat_init(self): -# """ -# Test `build_PTDF()` before MatProcessor initialization `build()`. -# """ - -# for case in self.cases: -# ss = ams.load(ams.get_case(case), -# setup=True, default_config=True, no_output=True) - -# # --- test no_store --- -# ptdf = ss.mats.build_ptdf(no_store=True) -# self.assertIsNone(ss.mats.PTDF._v) -# self.assertEqual(ss.mats.PTDF._v.shape, (ss.Line.n, ss.Bus.n)) - -# def test_ptdf_line(self): -# """ -# Test `build_PTDF()` with line. -# """ - -# for case in self.cases: -# ss = ams.load(ams.get_case(case), -# setup=True, default_config=True, no_output=True) - -# flag_build = ss.mats.build() -# self.assertTrue(flag_build) - -# # TODO: test different line inputs - -# def test_lodf_before_ptdf(self): -# """ -# Test `LODF` before `PTDF`. -# """ - -# for case in self.cases: -# ss = ams.load(ams.get_case(case), -# setup=True, default_config=True, no_output=True) - -# _ = ss.mats.build_lodf(no_store=True) -# self.assertIsNone(ss.mats.LODF._v) - -# _ = ss.mats.build_lodf(no_store=False) -# self.assertEqual(ss.mats.LODF._v.shape, (ss.Line.n, ss.Line.n)) - -# def test_otdf_before_lodf(self): -# """ -# Test `OTDF`. -# """ - -# for case in self.cases: -# ss = ams.load(ams.get_case(case), -# setup=True, default_config=True, no_output=True) -# # build matrices -# ss.mats.build() - -# otdf64 = ss.mats.build_otdf() -# self.assertEqual(otdf64.shape, (ss.Line.n, ss.Bus.n)) - -# # input str -# otdf_l2 = ss.mats.build_otdf(line=ss.Line.idx.v[2]) -# self.assertEqual(otdf_l2.shape, (ss.Line.n, ss.Bus.n)) - -# # input list with single element -# otdf_l2 = ss.mats.build_otdf(line=ss.Line.idx.v[2:3]) -# self.assertEqual(otdf_l2.shape, (ss.Line.n, ss.Bus.n)) - -# # input list with multiple elements -# otdf_l23 = ss.mats.build_otdf(line=ss.Line.idx.v[2:5]) -# self.assertEqual(otdf_l23.shape, (ss.Line.n, ss.Bus.n)) - - class TestBuildPTDF(unittest.TestCase): """ Test build PTDF. @@ -344,3 +264,69 @@ def test_lodf_incremental_lines(self): np.testing.assert_array_almost_equal(lodf_l23.todense(), self.lodf_full[:, 2:4], decimal=self.dec) + + +class TestBuildOTDF(unittest.TestCase): + """ + Test build OTDF. + """ + + def setUp(self) -> None: + self.ss = ams.load(ams.get_case('matpower/case14.m'), + setup=True, default_config=True, no_output=True) + self.nl = self.ss.Line.n + self.nb = self.ss.Bus.n + self.dec = 4 + _ = self.ss.mats.build() + + def test_otdf_dense_build(self): + _ = self.ss.mats.build_ptdf(no_store=False, incremental=False) + _ = self.ss.mats.build_lodf(no_store=False, incremental=False) + self.otdf_full = self.ss.mats.build_otdf() + self.assertEqual(self.otdf_full.shape, (self.nl, self.nb)) + + def test_otdf_sparse_build(self): + # --- both PTDF and LODF are dense --- + _ = self.ss.mats.build_ptdf(no_store=False, incremental=False) + _ = self.ss.mats.build_lodf(no_store=False, incremental=False) + otdf_dense = self.ss.mats.build_otdf() + + _ = self.ss.mats.build_ptdf(no_store=False, incremental=True) + _ = self.ss.mats.build_lodf(no_store=False, incremental=True) + otdf_sparse = self.ss.mats.build_otdf() + np.testing.assert_array_almost_equal(otdf_sparse.todense(), otdf_dense, + decimal=self.dec) + + # --- PTDF is dense and LODF is sparse --- + _ = self.ss.mats.build_ptdf(no_store=False, incremental=False) + _ = self.ss.mats.build_lodf(no_store=False, incremental=True) + otdf_sps1 = self.ss.mats.build_otdf() + np.testing.assert_array_almost_equal(otdf_sps1, otdf_dense, + decimal=self.dec) + + # --- PTDF is sparse and LODF is dense --- + _ = self.ss.mats.build_ptdf(no_store=False, incremental=True) + _ = self.ss.mats.build_lodf(no_store=False, incremental=False) + otdf_sps2 = self.ss.mats.build_otdf() + np.testing.assert_array_almost_equal(otdf_sps2.todense(), otdf_dense, + decimal=self.dec) + + def test_otdf_lines(self): + """ + Test OTDF with `line` inputs. + """ + # --- both PTDF and LODF are dense --- + _ = self.ss.mats.build_ptdf(no_store=False, incremental=False) + _ = self.ss.mats.build_lodf(no_store=False, incremental=False) + + # input str + otdf_l2 = self.ss.mats.build_otdf(line=self.ss.Line.idx.v[2]) + self.assertEqual(otdf_l2.shape, (self.nl, self.nb)) + + # input list with single element + otdf_l2p = self.ss.mats.build_otdf(line=[self.ss.Line.idx.v[2]]) + self.assertEqual(otdf_l2p.shape, (self.nl, self.nb)) + + # input list with multiple elements + otdf_l23 = self.ss.mats.build_otdf(line=self.ss.Line.idx.v[2:4]) + self.assertEqual(otdf_l23.shape, (self.nl, self.nb)) From 986c5063d493d5b08f455e492c7bc787d2d3e3a2 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 18:02:37 -0400 Subject: [PATCH 24/44] Rename chunk_size as step for clarity --- ams/core/matprocessor.py | 22 +++++++++++----------- tests/test_mats.py | 14 +++++++------- 2 files changed, 18 insertions(+), 18 deletions(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index c1e79dff..21b576d5 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -433,7 +433,7 @@ def _calc_b(self): return b def build_ptdf(self, line=None, no_store=False, - incremental=False, chunk_size=1000, no_tqdm=False): + incremental=False, step=1000, no_tqdm=False): """ Build the Power Transfer Distribution Factor (PTDF) matrix and store it in the MParam `PTDF` by default. @@ -460,8 +460,8 @@ def build_ptdf(self, line=None, no_store=False, If False, the PTDF will be stored into `MatProcessor.PTDF._v`. incremental : bool, optional If True, the sparse PTDF will be calculated in chunks to save memory. - chunk_size : int, optional - Chunk size for incremental calculation. + step : int, optional + Step for incremental calculation. no_tqdm : bool, optional If True, the progress bar will be disabled. @@ -524,8 +524,8 @@ def build_ptdf(self, line=None, no_store=False, H = sps.lil_matrix((nline, system.Bus.n)) # NOTE: for PTDF, we are building rows by rows - for start in range(0, nline, chunk_size): - end = min(start + chunk_size, nline) + for start in range(0, nline, step): + end = min(start + step, nline) sol = sps.linalg.spsolve(Bbus[np.ix_(noslack, noref)].T, Bf[np.ix_(luid[start:end], noref)].T).T H[start:end, noslack] = sol @@ -558,7 +558,7 @@ def build_ptdf(self, line=None, no_store=False, return H def build_lodf(self, line=None, no_store=False, - incremental=False, chunk_size=1000, no_tqdm=False): + incremental=False, step=1000, no_tqdm=False): """ Build the Line Outage Distribution Factor matrix and store it in the MParam `LODF`. @@ -582,8 +582,8 @@ def build_lodf(self, line=None, no_store=False, If False, the LODF will be stored into `MatProcessor.LODF._v`. incremental : bool, optional If True, the sparse LODF will be calculated in chunks to save memory. - chunk_size : int, optional - Chunk size for incremental calculation. + step : int, optional + Step for incremental calculation. no_tqdm : bool, optional If True, the progress bar will be disabled. @@ -619,7 +619,7 @@ def build_lodf(self, line=None, no_store=False, ptdf = self.PTDF._v # build PTDF if not built if self.PTDF._v is None: - ptdf = self.build_ptdf(no_store=True, incremental=incremental, chunk_size=chunk_size) + ptdf = self.build_ptdf(no_store=True, incremental=incremental, step=step) if incremental and isinstance(self.PTDF._v, np.ndarray): ptdf = sps.lil_matrix(self.PTDF._v) @@ -638,8 +638,8 @@ def build_lodf(self, line=None, no_store=False, LODF = sps.lil_matrix((nbranch, nline)) # NOTE: for LODF, we are doing it columns by columns - # reshape luid to list of list by chunk_size - luidp = [luid[i:i + chunk_size] for i in range(0, len(luid), chunk_size)] + # reshape luid to list of list by step + luidp = [luid[i:i + step] for i in range(0, len(luid), step)] for luidi in luidp: H_chunk = ptdf @ self.Cft._v[:, luidi] h_chunk = H_chunk.diagonal(-luidi[0]) diff --git a/tests/test_mats.py b/tests/test_mats.py index e4153869..e5cc66dd 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -169,29 +169,29 @@ def test_ptdf_incremental_lines(self): np.testing.assert_array_almost_equal(ptdf_l23.todense(), self.ptdf_full[2:4, :]) - def test_ptdf_incrementa_chunk_size(self): + def test_ptdf_incrementa_step(self): """ Test PTDF incremental build with chunk size. """ - # chunk_size < line length + # step < line length ptdf_c1 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, - no_store=False, chunk_size=1) + no_store=False, step=1) self.assertTrue(sps.isspmatrix_lil(ptdf_c1)) self.assertIsNone(self.ss.mats.PTDF._v) np.testing.assert_array_almost_equal(ptdf_c1.todense(), self.ptdf_full[2:4, :],) - # chunk_size = line length + # step = line length ptdf_c2 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, - no_store=False, chunk_size=2) + no_store=False, step=2) self.assertTrue(sps.isspmatrix_lil(ptdf_c2)) self.assertIsNone(self.ss.mats.PTDF._v) np.testing.assert_array_almost_equal(ptdf_c2.todense(), self.ptdf_full[2:4, :],) - # chunk_size > line length + # step > line length ptdf_c5 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, - no_store=False, chunk_size=5) + no_store=False, step=5) self.assertTrue(sps.isspmatrix_lil(ptdf_c5)) self.assertIsNone(self.ss.mats.PTDF._v) np.testing.assert_array_almost_equal(ptdf_c5.todense(), From 922d7b5b5ac903e0d675ea5b9ffd0fc40be2405b Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 18:05:02 -0400 Subject: [PATCH 25/44] Add test_lodf_incrementa_step --- tests/test_mats.py | 30 +++++++++++++++++++++++++++++- 1 file changed, 29 insertions(+), 1 deletion(-) diff --git a/tests/test_mats.py b/tests/test_mats.py index e5cc66dd..9dadd1f3 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -171,7 +171,7 @@ def test_ptdf_incremental_lines(self): def test_ptdf_incrementa_step(self): """ - Test PTDF incremental build with chunk size. + Test PTDF incremental build with step. """ # step < line length ptdf_c1 = self.ss.mats.build_ptdf(line=self.ss.Line.idx.v[2:4], incremental=True, @@ -265,6 +265,34 @@ def test_lodf_incremental_lines(self): self.lodf_full[:, 2:4], decimal=self.dec) + def test_lodf_incrementa_step(self): + """ + Test LODF incremental build with step. + """ + # step < line length + lodf_c1 = self.ss.mats.build_lodf(line=self.ss.Line.idx.v[2:4], incremental=True, + no_store=False, step=1) + self.assertTrue(sps.isspmatrix_lil(lodf_c1)) + np.testing.assert_array_almost_equal(lodf_c1.todense(), + self.lodf_full[:, 2:4], + decimal=self.dec) + + # step = line length + lodf_c2 = self.ss.mats.build_lodf(line=self.ss.Line.idx.v[2:4], incremental=True, + no_store=False, step=2) + self.assertTrue(sps.isspmatrix_lil(lodf_c2)) + np.testing.assert_array_almost_equal(lodf_c2.todense(), + self.lodf_full[:, 2:4], + decimal=self.dec) + + # step > line length + lodf_c5 = self.ss.mats.build_lodf(line=self.ss.Line.idx.v[2:4], incremental=True, + no_store=False, step=5) + self.assertTrue(sps.isspmatrix_lil(lodf_c5)) + np.testing.assert_array_almost_equal(lodf_c5.todense(), + self.lodf_full[:, 2:4], + decimal=self.dec) + class TestBuildOTDF(unittest.TestCase): """ From 2a90b7e065ac91ee9c615b34395f17398f25563e Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 18:05:38 -0400 Subject: [PATCH 26/44] Typo --- tests/test_mats.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_mats.py b/tests/test_mats.py index 9dadd1f3..a3526053 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -169,7 +169,7 @@ def test_ptdf_incremental_lines(self): np.testing.assert_array_almost_equal(ptdf_l23.todense(), self.ptdf_full[2:4, :]) - def test_ptdf_incrementa_step(self): + def test_ptdf_incremental_step(self): """ Test PTDF incremental build with step. """ @@ -265,7 +265,7 @@ def test_lodf_incremental_lines(self): self.lodf_full[:, 2:4], decimal=self.dec) - def test_lodf_incrementa_step(self): + def test_lodf_incremental_step(self): """ Test LODF incremental build with step. """ From ca56fc6ea78e0d92bb720c6b00214b4441311fdc Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 21:38:19 -0400 Subject: [PATCH 27/44] Fix routines' MParam owner issue --- ams/system.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/ams/system.py b/ams/system.py index 29910e06..4682f97c 100644 --- a/ams/system.py +++ b/ams/system.py @@ -231,7 +231,6 @@ def _collect_group_data(self, items): """ Set the owner for routine attributes: ``RParam``, ``Var``, and ``RBaseService``. """ - # NOTE: here we skip assigning `MParam` owner as it is assined in `MatProcessor` for item_name, item in items.items(): if item.model in self.groups.keys(): item.is_group = True @@ -239,7 +238,7 @@ def _collect_group_data(self, items): elif item.model in self.models.keys(): item.owner = self.models[item.model] elif item.model == 'mats': - pass + item.owner = self.mats else: logger.debug(f'item_name: {item_name}') msg = f'Model indicator \'{item.model}\' of <{item.rtn.class_name}.{item_name}>' From 86a88451062b90c2b7d5be20a430891c61baa376 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 22:31:43 -0400 Subject: [PATCH 28/44] Improve test_known_good --- ams/cases/matpower/benchmark.json | 1594 +++++++++++++++++++++++++++++ tests/test_known_good.py | 294 +++++- 2 files changed, 1847 insertions(+), 41 deletions(-) create mode 100644 ams/cases/matpower/benchmark.json diff --git a/ams/cases/matpower/benchmark.json b/ams/cases/matpower/benchmark.json new file mode 100644 index 00000000..a8203155 --- /dev/null +++ b/ams/cases/matpower/benchmark.json @@ -0,0 +1,1594 @@ +{ + "info":{ + "MATLAB":"24.1.0.2633879 (R2024a) Update 4", + "MATPOWER":"7.1", + "Time":"17-Jun-2024 21:43:48" + }, + "case14":{ + "DCPF":{ + "aBus":[ + [0], + [-5.012011165930483], + [-12.9536631292105], + [-10.58366743509143], + [-9.093894248552006], + [-14.85207905258383], + [-13.90705458992044], + [-13.90705458992044], + [-15.6946888799101], + [-15.97412313506005], + [-15.61885012399027], + [-15.96707685838402], + [-16.13970373960512], + [-17.18828757029359] + ], + "pg":[ + [219], + [40], + [0], + [0], + [0] + ] + }, + "PFlow":{ + "aBus":[ + [0], + [-4.982589141866717], + [-12.72509993802527], + [-10.31290109222039], + [-8.773853898144798], + [-14.22094646344159], + [-13.3596273651486], + [-13.35962736514363], + [-14.93852129500755], + [-15.09728846284073], + [-14.79062203107474], + [-15.0755845201623], + [-15.15627633596322], + [-16.03364452896194] + ], + "vBus":[ + [1.06], + [1.045], + [1.01], + [1.017670853697244], + [1.019513859822471], + [1.07], + [1.061519532493659], + [1.09], + [1.055931720639651], + [1.050984625002083], + [1.056906518541523], + [1.055188563197396], + [1.050381713629174], + [1.035529945855701] + ], + "pg":[ + [232.3932723532577], + [40], + [0], + [0], + [0] + ] + }, + "DCOPF":{ + "obj":7642.591776995464, + "pi":[ + [39.01615271506787], + [39.01615271506785], + [39.01615271506784], + [39.01615271506783], + [39.01615271506783], + [39.01615271506785], + [39.01615271506784], + [39.01615271506784], + [39.01615271506785], + [39.01615271506786], + [39.01615271506787], + [39.01615271506787], + [39.01615271506787], + [39.01615271506786] + ] + }, + "ACOPF":{ + "obj":7642.591776995464, + "pi":[ + [39.01615271506787], + [39.01615271506785], + [39.01615271506784], + [39.01615271506783], + [39.01615271506783], + [39.01615271506785], + [39.01615271506784], + [39.01615271506784], + [39.01615271506785], + [39.01615271506786], + [39.01615271506787], + 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+ ] + } +} diff --git a/tests/test_known_good.py b/tests/test_known_good.py index e9f8172e..14356f85 100644 --- a/tests/test_known_good.py +++ b/tests/test_known_good.py @@ -1,52 +1,264 @@ import logging import unittest +import json + import numpy as np +from andes.shared import rad2deg import ams logger = logging.getLogger(__name__) class TestKnownResults(unittest.TestCase): - # NOTE: Baseline comes from MATPOWER v8.0b1 - # NOTE: when using ECOS in this case, the accuracy is ralatively low - - def test_known_case14(self): - case = ams.get_case('matpower/case14.m') - sp = ams.load(case, setup=True, no_output=True) - sp.DCOPF.run(solver='ECOS') - self.assertAlmostEqual(sp.DCOPF.obj.v, 7642.59177715644, places=2) - - aBus_mp = np.array([ - -0.0, -0.088451789, -0.22695322, -0.18549695, - -0.15942929, -0.25995018, -0.24348912, -0.24348912, - -0.27468284, -0.2795552, -0.27334388, -0.27941265, - -0.28242718, -0.30074116,]) - aBus_mp -= aBus_mp[0] - - aBus = sp.DCOPF.aBus.v - sp.DCOPF.aBus.v[0] - self.assertTrue(np.allclose(aBus, aBus_mp, atol=1e-4)) - - pg_mp = np.array([ - 2.2096769, 0.38032305, 0.0, 0.0, 0.0]) - pg = sp.DCOPF.pg.v - self.assertTrue(np.allclose(pg, pg_mp, atol=1e-4)) - - def test_known_case39(self): - case = ams.get_case('matpower/case39.m') - sp = ams.load(case, setup=True, no_output=True) - sp.DCOPF.run(solver='ECOS') - self.assertAlmostEqual(sp.DCOPF.obj.v, 41263.94078592735, places=2) - - pi = sp.DCOPF.pi.v / sp.config.mva - self.assertTrue(np.all(np.isclose(pi, 13.51692, atol=1e-2))) - - def test_known_case118(self): - case = ams.get_case('matpower/case118.m') - sp = ams.load(case, setup=True, no_output=True) - sp.DCOPF.run(solver='ECOS') - self.assertAlmostEqual(sp.DCOPF.obj.v, 125947.8814181522, places=2) - - pi = sp.DCOPF.pi.v / sp.config.mva - self.assertTrue(np.all(np.isclose(pi, 39.38136794580036, atol=1e-2))) + + def setUp(self) -> None: + with open(ams.get_case('matpower/benchmark.json'), 'r') as file: + self.mpres = json.load(file) + + self.sp = ams.load(ams.get_case('matpower/case14.m'), + setup=True, no_output=True, default_config=True) + + def test_DCPF_case14(self): + """ + Test DC power flow for case14. + """ + self.sp.DCPF.run() + np.testing.assert_allclose(self.sp.DCPF.aBus.v * rad2deg, + np.array(self.mpres['case14']['DCPF']['aBus']).reshape(-1), + rtol=1e-2, atol=1e-2) + + np.testing.assert_allclose(self.sp.DCPF.pg.v * self.sp.config.mva, + np.array(self.mpres['case14']['DCPF']['pg']).reshape(-1), + rtol=1e-2, atol=1e-2) + + def test_PFlow_case14(self): + """ + Test power flow for case14. + """ + self.sp.PFlow.run() + np.testing.assert_allclose(self.sp.PFlow.aBus.v * rad2deg, + np.array(self.mpres['case14']['PFlow']['aBus']).reshape(-1), + rtol=1e-2, atol=1e-2) + np.testing.assert_allclose(self.sp.PFlow.vBus.v, + np.array(self.mpres['case14']['PFlow']['vBus']).reshape(-1), + rtol=1e-2, atol=1e-2) + np.testing.assert_allclose(self.sp.PFlow.pg.v.sum() * self.sp.config.mva, + np.array(self.mpres['case14']['PFlow']['pg']).sum(), + rtol=1e-2, atol=1e-2) + + def test_DCOPF_case14(self): + """ + Test DCOPF for case14. + """ + self.sp.DCOPF.run(solver='ECOS') + self.assertAlmostEqual(self.sp.DCOPF.obj.v, + self.mpres['case14']['DCOPF']['obj'], + places=4) + np.testing.assert_allclose(self.sp.DCOPF.pi.v / self.sp.config.mva, + np.array(self.mpres['case14']['DCOPF']['pi']).reshape(-1), + rtol=1e-2, atol=1e-2) + + def test_Matrices_case14(self): + """ + Test matrices for case14. + """ + ptdf = self.sp.mats.build_ptdf() + lodf = self.sp.mats.build_lodf() + + ptdf_mp = load_ptdf(self.mpres, 'case14') + lodf_mp = load_lodf(self.mpres, 'case14') + + ptdf[np.isnan(ptdf_mp)] = np.nan + lodf[np.isnan(lodf_mp)] = np.nan + + np.testing.assert_allclose(ptdf, ptdf_mp, + equal_nan=True, rtol=1e-2, atol=1e-2) + + np.testing.assert_allclose(lodf, lodf_mp, + equal_nan=True, rtol=1e-2, atol=1e-2) + + +class TestKnownResultsIEEE39(unittest.TestCase): + + def setUp(self) -> None: + with open(ams.get_case('matpower/benchmark.json'), 'r') as file: + self.mpres = json.load(file) + + self.sp = ams.load(ams.get_case('matpower/case39.m'), + setup=True, no_output=True, default_config=True) + + def test_DCPF_case39(self): + """ + Test DC power flow for case39. + """ + self.sp.DCPF.run() + np.testing.assert_allclose(self.sp.DCPF.aBus.v * rad2deg, + np.array(self.mpres['case39']['DCPF']['aBus']).reshape(-1), + rtol=1e-2, atol=1e-2) + + np.testing.assert_allclose(self.sp.DCPF.pg.v.sum() * self.sp.config.mva, + np.array(self.mpres['case39']['DCPF']['pg']).sum(), + rtol=1e-2, atol=1e-2) + + def test_PFlow_case39(self): + """ + Test power flow for case39. + """ + self.sp.PFlow.run() + np.testing.assert_allclose(self.sp.PFlow.aBus.v * rad2deg, + np.array(self.mpres['case39']['PFlow']['aBus']).reshape(-1), + rtol=1e-2, atol=1e-2) + np.testing.assert_allclose(self.sp.PFlow.vBus.v, + np.array(self.mpres['case39']['PFlow']['vBus']).reshape(-1), + rtol=1e-2, atol=1e-2) + np.testing.assert_allclose(self.sp.PFlow.pg.v.sum() * self.sp.config.mva, + np.array(self.mpres['case39']['PFlow']['pg']).sum(), + rtol=1e-2, atol=1e-2) + + def test_DCOPF_case39(self): + """ + Test DCOPF for case39. + """ + self.sp.DCOPF.run(solver='ECOS') + self.assertAlmostEqual(self.sp.DCOPF.obj.v, + self.mpres['case39']['DCOPF']['obj'], + places=2) + np.testing.assert_allclose(self.sp.DCOPF.pi.v / self.sp.config.mva, + np.array(self.mpres['case39']['DCOPF']['pi']).reshape(-1), + rtol=1e-2, atol=1e-2) + + def test_Matrices_case39(self): + """ + Test matrices for case39. + """ + ptdf = self.sp.mats.build_ptdf() + lodf = self.sp.mats.build_lodf() + + ptdf_mp = load_ptdf(self.mpres, 'case39') + lodf_mp = load_lodf(self.mpres, 'case39') + + ptdf[np.isnan(ptdf_mp)] = np.nan + lodf[np.isnan(lodf_mp)] = np.nan + + np.testing.assert_allclose(ptdf, ptdf_mp, + equal_nan=True, rtol=1e-2, atol=1e-2) + + np.testing.assert_allclose(lodf, lodf_mp, + equal_nan=True, rtol=1e-2, atol=10) + + +class TestKnownResultsIEEE118(unittest.TestCase): + + def setUp(self) -> None: + with open(ams.get_case('matpower/benchmark.json'), 'r') as file: + self.mpres = json.load(file) + + self.sp = ams.load(ams.get_case('matpower/case118.m'), + setup=True, no_output=True, default_config=True) + + def test_DCPF_case118(self): + """ + Test DC power flow for case118. + """ + self.sp.DCPF.run() + np.testing.assert_allclose(self.sp.DCPF.aBus.v * rad2deg, + np.array(self.mpres['case118']['DCPF']['aBus']).reshape(-1), + rtol=1e-2, atol=1e-2) + + np.testing.assert_allclose(self.sp.DCPF.pg.v.sum() * self.sp.config.mva, + np.array(self.mpres['case118']['DCPF']['pg']).sum(), + rtol=1e-2, atol=1e-2) + + def test_PFlow_case118(self): + """ + Test power flow for case118. + """ + self.sp.PFlow.run() + np.testing.assert_allclose(self.sp.PFlow.aBus.v * rad2deg, + np.array(self.mpres['case118']['PFlow']['aBus']).reshape(-1), + rtol=1e-2, atol=1e-2) + np.testing.assert_allclose(self.sp.PFlow.vBus.v, + np.array(self.mpres['case118']['PFlow']['vBus']).reshape(-1), + rtol=1e-2, atol=1e-2) + np.testing.assert_allclose(self.sp.PFlow.pg.v.sum() * self.sp.config.mva, + np.array(self.mpres['case118']['PFlow']['pg']).sum(), + rtol=1e-2, atol=1e-2) + + def test_DCOPF_case118(self): + """ + Test DCOPF for case118. + """ + self.sp.DCOPF.run(solver='ECOS') + self.assertAlmostEqual(self.sp.DCOPF.obj.v, + self.mpres['case118']['DCOPF']['obj'], + places=2) + np.testing.assert_allclose(self.sp.DCOPF.pi.v / self.sp.config.mva, + np.array(self.mpres['case118']['DCOPF']['pi']).reshape(-1), + rtol=1e-2, atol=1e-2) + + def test_Matrices_case118(self): + """ + Test matrices for case118. + """ + ptdf = self.sp.mats.build_ptdf() + lodf = self.sp.mats.build_lodf() + + ptdf_mp = load_ptdf(self.mpres, 'case118') + lodf_mp = load_lodf(self.mpres, 'case118') + + ptdf[np.isnan(ptdf_mp)] = np.nan + lodf[np.isnan(lodf_mp)] = np.nan + + np.testing.assert_allclose(ptdf, ptdf_mp, + equal_nan=True, rtol=1e-2, atol=1e-2) + + np.testing.assert_allclose(lodf, lodf_mp, + equal_nan=True, rtol=1e-2, atol=10) + + +def load_ptdf(mpres, case): + """ + Load PTDF from mpres. + + Parameters + ---------- + mpres : dict + The result dictionary. + case : str + The case name. + + Returns + ------- + ptdf : np.ndarray + The PTDF matrix. + """ + ptdf_data = np.array(mpres[case]['PTDF']) + ptdf = np.array([[0 if val == "_NaN_" else val for val in row] for row in ptdf_data], + dtype=float) + return ptdf + + +def load_lodf(mpres, case): + """ + Load LODF from mpres. + + Parameters + ---------- + mpres : dict + The result dictionary. + case : str + The case name. + + Returns + ------- + lodf : np.ndarray + The LODF matrix. + """ + lodf_data = np.array(mpres[case]['LODF']) + lodf = np.array([[np.nan if val in ["_NaN_", "-_Inf_", "_Inf_"] else val for val in row] for row in lodf_data], + dtype=float) + # NOTE: force the diagonal to be -1 + np.fill_diagonal(lodf, -1) + return lodf From 1b28a6a185b58699443cda51bd717fc146f1bf18 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 22:34:28 -0400 Subject: [PATCH 29/44] Format --- tests/test_known_good.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_known_good.py b/tests/test_known_good.py index 14356f85..bafb84fc 100644 --- a/tests/test_known_good.py +++ b/tests/test_known_good.py @@ -228,7 +228,7 @@ def load_ptdf(mpres, case): The result dictionary. case : str The case name. - + Returns ------- ptdf : np.ndarray @@ -250,7 +250,7 @@ def load_lodf(mpres, case): The result dictionary. case : str The case name. - + Returns ------- lodf : np.ndarray From a2fee4432d8ea9afa96f585167d1837a4551d3c2 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 22:34:43 -0400 Subject: [PATCH 30/44] Update relrease-notes --- docs/source/release-notes.rst | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/docs/source/release-notes.rst b/docs/source/release-notes.rst index 301a2e74..ccf5e00b 100644 --- a/docs/source/release-notes.rst +++ b/docs/source/release-notes.rst @@ -9,10 +9,13 @@ The APIs before v3.0.0 are in beta and may change without prior notice. Pre-v1.0.0 ========== -v0.9.8 (2024-xx-xx) +v0.9.8 (2024-06-18) ------------------- -- Assign `MParam.owner` when declaring, which is originally assigned in `System._collect_group_data()` +- Assign `MParam.owner` when declaring +- In `MatProcessor`, improve `build_ptdf` and `build_lodf` to allow partial building and incremental building +- Add in 'cases/matpower/Benchmark.json' for benchmark with MATPOWER +- Improve known good results test v0.9.7 (2024-05-24) ------------------- From e9ced71c485ed134a7b5a0ccf046cc9298377227 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 23:44:06 -0400 Subject: [PATCH 31/44] Quick fix in selftest --- ams/main.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/ams/main.py b/ams/main.py index 352e58f9..dc1275ec 100644 --- a/ams/main.py +++ b/ams/main.py @@ -717,6 +717,8 @@ def selftest(quick=False, extra=False, **kwargs): for test_class in test_group._tests: tests_keep = list() + if not hasattr(test_class, '_tests'): + continue for t in test_class._tests: # skip the extra tests if `extra` is not True if (extra is not True) and (extra_test in t._testMethodName): From e30652f75b0b500fe81d1e3f259c5bdbc15e7e2f Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 23:48:15 -0400 Subject: [PATCH 32/44] Change used solver to CLARABEL --- examples/demonstration/demo_AGC.ipynb | 2 +- examples/ex1.ipynb | 4 ++-- examples/ex2.ipynb | 20 +++++++++---------- examples/ex5.ipynb | 2 +- examples/ex6.ipynb | 2 +- examples/ex7.ipynb | 4 ++-- examples/ex8.ipynb | 4 ++-- .../verification/ams_dcopf_verification.ipynb | 4 ++-- tests/test_andes.py | 2 +- tests/test_dctypes.py | 6 +++--- tests/test_export_csv.py | 4 ++-- tests/test_known_good.py | 6 +++--- tests/test_report.py | 8 ++++---- tests/test_routine.py | 14 ++++++------- 14 files changed, 41 insertions(+), 41 deletions(-) diff --git a/examples/demonstration/demo_AGC.ipynb b/examples/demonstration/demo_AGC.ipynb index 08d80642..07156585 100644 --- a/examples/demonstration/demo_AGC.ipynb +++ b/examples/demonstration/demo_AGC.ipynb @@ -688,7 +688,7 @@ " # update RTED parameters\n", " sp.RTED.update()\n", " # run RTED\n", - " sp.RTED.run(solver='ECOS')\n", + " sp.RTED.run(solver='CLARABEL')\n", " # convert to AC\n", " flag_2ac = sp.RTED.dc2ac(kloss=1.02 if id_rted == 0 else 1)\n", " if flag_2ac:\n", diff --git a/examples/ex1.ipynb b/examples/ex1.ipynb index 12ca8b01..dd0a6916 100644 --- a/examples/ex1.ipynb +++ b/examples/ex1.ipynb @@ -470,7 +470,7 @@ } ], "source": [ - "sp.RTED.run(solver='ECOS')" + "sp.RTED.run(solver='CLARABEL')" ] }, { @@ -700,7 +700,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.undefined" }, "orig_nbformat": 4, "vscode": { diff --git a/examples/ex2.ipynb b/examples/ex2.ipynb index 5a6aeb89..35a1bf73 100644 --- a/examples/ex2.ipynb +++ b/examples/ex2.ipynb @@ -285,7 +285,7 @@ } ], "source": [ - "sp.RTED.run(solver='ECOS')" + "sp.RTED.run(solver='CLARABEL')" ] }, { @@ -438,7 +438,7 @@ } ], "source": [ - "sp.RTED.run(solver='ECOS')" + "sp.RTED.run(solver='CLARABEL')" ] }, { @@ -712,7 +712,7 @@ } ], "source": [ - "sp.RTED.run(solver='ECOS')" + "sp.RTED.run(solver='CLARABEL')" ] }, { @@ -1029,7 +1029,7 @@ } ], "source": [ - "sp.RTED.run(solver='ECOS')" + "sp.RTED.run(solver='CLARABEL')" ] }, { @@ -1443,7 +1443,7 @@ } ], "source": [ - "sp.RTED.run(solver='ECOS')" + "sp.RTED.run(solver='CLARABEL')" ] }, { @@ -1650,7 +1650,7 @@ } ], "source": [ - "spc.RTED.run(solver='ECOS')" + "spc.RTED.run(solver='CLARABEL')" ] }, { @@ -1773,7 +1773,7 @@ } ], "source": [ - "spc.RTED.run(solver='ECOS')" + "spc.RTED.run(solver='CLARABEL')" ] }, { @@ -1895,7 +1895,7 @@ } ], "source": [ - "spc.RTED.run(solver='ECOS')" + "spc.RTED.run(solver='CLARABEL')" ] }, { @@ -2100,7 +2100,7 @@ } ], "source": [ - "spf.RTED.run(solver='ECOS')" + "spf.RTED.run(solver='CLARABEL')" ] }, { @@ -2355,7 +2355,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.-1" }, "orig_nbformat": 4, "vscode": { diff --git a/examples/ex5.ipynb b/examples/ex5.ipynb index e5595b82..5eb8aae0 100644 --- a/examples/ex5.ipynb +++ b/examples/ex5.ipynb @@ -142,7 +142,7 @@ } ], "source": [ - "sp.RTED.run(solver='ECOS')" + "sp.RTED.run(solver='CLARABEL')" ] }, { diff --git a/examples/ex6.ipynb b/examples/ex6.ipynb index 1100b3dc..4043773d 100644 --- a/examples/ex6.ipynb +++ b/examples/ex6.ipynb @@ -602,7 +602,7 @@ } ], "source": [ - "sp.ED.run(solver='ECOS')" + "sp.ED.run(solver='CLARABEL')" ] }, { diff --git a/examples/ex7.ipynb b/examples/ex7.ipynb index 15148038..caf8daf1 100644 --- a/examples/ex7.ipynb +++ b/examples/ex7.ipynb @@ -116,7 +116,7 @@ } ], "source": [ - "sp.DCOPF.run(solver='ECOS')" + "sp.DCOPF.run(solver='CLARABEL')" ] }, { @@ -282,7 +282,7 @@ } ], "source": [ - "sp.ED.run(solver='ECOS')" + "sp.ED.run(solver='CLARABEL')" ] }, { diff --git a/examples/ex8.ipynb b/examples/ex8.ipynb index 3d9998aa..67ac866d 100644 --- a/examples/ex8.ipynb +++ b/examples/ex8.ipynb @@ -480,7 +480,7 @@ } ], "source": [ - "sp.DCOPF.run(solver='ECOS')" + "sp.DCOPF.run(solver='CLARABEL')" ] }, { @@ -604,7 +604,7 @@ } ], "source": [ - "sp0.DCOPF.run(solver='ECOS')" + "sp0.DCOPF.run(solver='CLARABEL')" ] }, { diff --git a/examples/verification/ams_dcopf_verification.ipynb b/examples/verification/ams_dcopf_verification.ipynb index 8b292384..87e29d94 100644 --- a/examples/verification/ams_dcopf_verification.ipynb +++ b/examples/verification/ams_dcopf_verification.ipynb @@ -119,7 +119,7 @@ "for i, case in enumerate(cases):\n", " sp = ams.load(case, setup=True)\n", " sp.DCOPF.init()\n", - " sp.DCOPF.run(solver='ECOS')\n", + " sp.DCOPF.run(solver='CLARABEL')\n", " ams_obj[i] = sp.DCOPF.obj.v\n", "\n", " ppc = ams.io.pypower.system2ppc(sp)\n", @@ -191,7 +191,7 @@ } ], "source": [ - "sp2.DCOPF.run(solver='ECOS')" + "sp2.DCOPF.run(solver='CLARABEL')" ] }, { diff --git a/tests/test_andes.py b/tests/test_andes.py index 290c035f..d72602f0 100644 --- a/tests/test_andes.py +++ b/tests/test_andes.py @@ -198,7 +198,7 @@ def setUp(self) -> None: setup=True, no_output=True, default_config=True,) - self.sp.RTED.run(solver='ECOS') + self.sp.RTED.run(solver='CLARABEL') self.sp.RTED.dc2ac() self.stg_idx = self.sp.RTED.pg.get_idx() diff --git a/tests/test_dctypes.py b/tests/test_dctypes.py index 35c97124..478e1718 100644 --- a/tests/test_dctypes.py +++ b/tests/test_dctypes.py @@ -37,7 +37,7 @@ def test_dcopf(self): """ init = self.ss.DCOPF.init() self.assertTrue(init, "DCOPF initialization failed!") - self.ss.DCOPF.run(solver='ECOS') + self.ss.DCOPF.run(solver='CLARABEL') np.testing.assert_equal(self.ss.DCOPF.exit_code, 0) def test_rted(self) -> None: @@ -46,7 +46,7 @@ def test_rted(self) -> None: """ init = self.ss.RTED.init() self.assertTrue(init, "RTED initialization failed!") - self.ss.RTED.run(solver='ECOS') + self.ss.RTED.run(solver='CLARABEL') np.testing.assert_equal(self.ss.RTED.exit_code, 0) def test_ed(self) -> None: @@ -55,7 +55,7 @@ def test_ed(self) -> None: """ init = self.ss.ED.init() self.assertTrue(init, "ED initialization failed!") - self.ss.ED.run(solver='ECOS') + self.ss.ED.run(solver='CLARABEL') np.testing.assert_equal(self.ss.ED.exit_code, 0) @require_MIP_solver diff --git a/tests/test_export_csv.py b/tests/test_export_csv.py index cf7741fa..0d64228b 100644 --- a/tests/test_export_csv.py +++ b/tests/test_export_csv.py @@ -34,7 +34,7 @@ def test_export_DCOPF(self): """ Test export DCOPF to CSV. """ - self.ss.DCOPF.run(solver='ECOS') + self.ss.DCOPF.run(solver='CLARABEL') self.assertTrue(self.ss.DCOPF.export_csv()) self.assertTrue(os.path.exists(self.expected_csv_DCOPF)) @@ -61,7 +61,7 @@ def test_export_ED(self): """ Test export ED to CSV. """ - self.ss.ED.run(solver='ECOS') + self.ss.ED.run(solver='CLARABEL') self.assertTrue(self.ss.ED.export_csv()) self.assertTrue(os.path.exists(self.expected_csv_ED)) diff --git a/tests/test_known_good.py b/tests/test_known_good.py index bafb84fc..9ba8c02f 100644 --- a/tests/test_known_good.py +++ b/tests/test_known_good.py @@ -52,7 +52,7 @@ def test_DCOPF_case14(self): """ Test DCOPF for case14. """ - self.sp.DCOPF.run(solver='ECOS') + self.sp.DCOPF.run(solver='CLARABEL') self.assertAlmostEqual(self.sp.DCOPF.obj.v, self.mpres['case14']['DCOPF']['obj'], places=4) @@ -121,7 +121,7 @@ def test_DCOPF_case39(self): """ Test DCOPF for case39. """ - self.sp.DCOPF.run(solver='ECOS') + self.sp.DCOPF.run(solver='CLARABEL') self.assertAlmostEqual(self.sp.DCOPF.obj.v, self.mpres['case39']['DCOPF']['obj'], places=2) @@ -190,7 +190,7 @@ def test_DCOPF_case118(self): """ Test DCOPF for case118. """ - self.sp.DCOPF.run(solver='ECOS') + self.sp.DCOPF.run(solver='CLARABEL') self.assertAlmostEqual(self.sp.DCOPF.obj.v, self.mpres['case118']['DCOPF']['obj'], places=2) diff --git a/tests/test_report.py b/tests/test_report.py index bea9c18d..f62cbb2d 100644 --- a/tests/test_report.py +++ b/tests/test_report.py @@ -46,7 +46,7 @@ def test_DCOPF_report(self): Test report with DCOPF solved. """ self.ss.files.no_output = False - self.ss.DCOPF.run(solver='ECOS') + self.ss.DCOPF.run(solver='CLARABEL') self.assertTrue(self.ss.report()) self.assertTrue(os.path.exists(self.expected_report)) @@ -61,9 +61,9 @@ def test_multi_report(self): Test report with multiple solved routines. """ self.ss.files.no_output = False - self.ss.DCOPF.run(solver='ECOS') - self.ss.RTED.run(solver='ECOS') - self.ss.ED.run(solver='ECOS') + self.ss.DCOPF.run(solver='CLARABEL') + self.ss.RTED.run(solver='CLARABEL') + self.ss.ED.run(solver='CLARABEL') self.assertTrue(self.ss.report()) self.assertTrue(os.path.exists(self.expected_report)) diff --git a/tests/test_routine.py b/tests/test_routine.py index b04e6ec1..260aa4b8 100644 --- a/tests/test_routine.py +++ b/tests/test_routine.py @@ -49,7 +49,7 @@ def test_routine_get(self): np.testing.assert_equal(self.ss.DCOPF.get('ug', 'PV_30'), 1) # get an unpacked var value - self.ss.DCOPF.run(solver='ECOS') + self.ss.DCOPF.run(solver='CLARABEL') self.assertEqual(self.ss.DCOPF.exit_code, 0, "Exit code is not 0.") np.testing.assert_equal(self.ss.DCOPF.get('pg', 'PV_30', 'v'), self.ss.StaticGen.get('p', 'PV_30', 'v')) @@ -62,7 +62,7 @@ def test_routine_get(self): self.assertIsInstance(self.ss.DCOPF.get('pg', ['PV_30'], 'v'), np.ndarray) # --- multi period routine --- - self.ss.ED.run(solver='ECOS') + self.ss.ED.run(solver='CLARABEL') self.assertEqual(self.ss.ED.exit_code, 0, "Exit code is not 0.") np.testing.assert_equal(self.ss.ED.get('pg', 'PV_30', 'v').ndim, 1) np.testing.assert_equal(self.ss.ED.get('pg', ['PV_30'], 'v').ndim, 2) @@ -87,7 +87,7 @@ def test_value_method(self): Test Contraint and Objective values. """ - self.ss.DCOPF.run(solver='ECOS') + self.ss.DCOPF.run(solver='CLARABEL') self.assertTrue(self.ss.DCOPF.converged, "DCOPF did not converge!") # --- constraint values --- @@ -114,7 +114,7 @@ def test_trip(self): Test generator trip. """ # --- run DCOPF --- - self.ss.DCOPF.run(solver='ECOS') + self.ss.DCOPF.run(solver='CLARABEL') obj = self.ss.DCOPF.obj.v # --- generator trip --- @@ -122,7 +122,7 @@ def test_trip(self): self.ss.DCOPF.update() - self.ss.DCOPF.run(solver='ECOS') + self.ss.DCOPF.run(solver='CLARABEL') self.assertTrue(self.ss.DCOPF.converged, "DCOPF did not converge under generator trip!") obj_gt = self.ss.DCOPF.obj.v self.assertGreater(obj_gt, obj) @@ -135,7 +135,7 @@ def test_trip(self): self.ss.DCOPF.update() - self.ss.DCOPF.run(solver='ECOS') + self.ss.DCOPF.run(solver='CLARABEL') self.assertTrue(self.ss.DCOPF.converged, "DCOPF did not converge under line trip!") obj_lt = self.ss.DCOPF.obj.v self.assertGreater(obj_lt, obj_gt) @@ -155,7 +155,7 @@ def setUp(self) -> None: default_config=True, no_output=True, ) - self.ss.RTED.run(solver='ECOS') + self.ss.RTED.run(solver='CLARABEL') def test_dc2ac(self): """ From 5ebcc3f0b2a432886a34ac03bbd14ae76cca7776 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 23:53:29 -0400 Subject: [PATCH 33/44] Set azure pipline python versions to be 311 --- azure-pipelines.yml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/azure-pipelines.yml b/azure-pipelines.yml index 7954be38..37ab0c43 100644 --- a/azure-pipelines.yml +++ b/azure-pipelines.yml @@ -41,8 +41,8 @@ jobs: timeoutInMinutes: 360 strategy: matrix: - macos_python3.10: - python.version: '3.10' + macos_python311: + python.version: '3.11' steps: - task: UsePythonVersion@0 @@ -66,23 +66,23 @@ jobs: timeoutInMinutes: 360 strategy: matrix: - win_python3.9: - python.version: '3.9' + win_python311: + python.version: '311' steps: - powershell: Write-Host "##vso[task.prependpath]$env:CONDA\Scripts" displayName: Add conda to PATH - - script: conda create --yes --quiet --name andesEnv + - script: conda create --yes --quiet --name amsEnv displayName: Create Anaconda environment - script: | - call activate andesEnv - conda install --yes --quiet --name andesEnv python=%PYTHON_VERSION% + call activate amsEnv + conda install --yes --quiet --name amsEnv python=%PYTHON_VERSION% displayName: Install Anaconda packages - script: | - call activate andesEnv + call activate amsEnv python -m pip install --upgrade pip pip install pytest pytest-azurepipelines pip install .[dev,interop] From 26c2bf6200a54529dd6e7977a7d3d7cedd243e37 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Mon, 17 Jun 2024 23:54:26 -0400 Subject: [PATCH 34/44] Update release-notes --- docs/source/release-notes.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/source/release-notes.rst b/docs/source/release-notes.rst index ccf5e00b..5f8b959c 100644 --- a/docs/source/release-notes.rst +++ b/docs/source/release-notes.rst @@ -16,6 +16,7 @@ v0.9.8 (2024-06-18) - In `MatProcessor`, improve `build_ptdf` and `build_lodf` to allow partial building and incremental building - Add in 'cases/matpower/Benchmark.json' for benchmark with MATPOWER - Improve known good results test +- Minor fix in `main.py` selftest part v0.9.7 (2024-05-24) ------------------- From 47bbbc37f238ab756bb610b662257203e29d807f Mon Sep 17 00:00:00 2001 From: jinningwang Date: Tue, 18 Jun 2024 07:49:42 -0400 Subject: [PATCH 35/44] In MATPOWER converter, use None as devices name --- ams/io/matpower.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/ams/io/matpower.py b/ams/io/matpower.py index 6307cfcb..80df38f0 100644 --- a/ams/io/matpower.py +++ b/ams/io/matpower.py @@ -80,15 +80,15 @@ def mpc2system(mpc: dict, system) -> bool: vmax = data[11] vmin = data[12] - system.add('Bus', idx=idx, name='Bus ' + str(idx), + system.add('Bus', idx=idx, name=None, type=ty, Vn=baseKV, v0=vmag, a0=vang, vmax=vmax, vmin=vmin, area=area, zone=zone) if pd != 0 or qd != 0: - system.add('PQ', bus=idx, name='PQ ' + str(idx), Vn=baseKV, p0=pd, q0=qd) + system.add('PQ', bus=idx, name=None, Vn=baseKV, p0=pd, q0=qd) if gs or bs: - system.add('Shunt', bus=idx, name='Shunt ' + str(idx), Vn=baseKV, g=gs, b=bs) + system.add('Shunt', bus=idx, name=None, Vn=baseKV, g=gs, b=bs) gen_idx = 0 if mpc['gen'].shape[1] <= 10: # missing data @@ -135,7 +135,7 @@ def mpc2system(mpc: dict, system) -> bool: if bus_idx in sw: system.add('Slack', idx=gen_idx, bus=bus_idx, busr=bus_idx, - name='Slack ' + str(bus_idx), + name=None, u=status, Sn=data[6], Vn=vn, v0=vg, p0=pg, q0=qg, a0=a0, pmax=pmax, pmin=pmin, @@ -148,7 +148,7 @@ def mpc2system(mpc: dict, system) -> bool: apf=apf) else: system.add('PV', idx=gen_idx, bus=bus_idx, busr=bus_idx, - name='PV ' + str(bus_idx), + name=None, u=status, Sn=data[6], Vn=vn, v0=vg, p0=pg, q0=qg, pmax=pmax, pmin=pmin, From f309c0a018f698f1edd887f0baf41ab96570e151 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Tue, 18 Jun 2024 08:24:05 -0400 Subject: [PATCH 36/44] Add test_MParams_owner --- tests/test_mats.py | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/tests/test_mats.py b/tests/test_mats.py index a3526053..c239b327 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -24,6 +24,22 @@ def setUp(self) -> None: self.mats = MatProcessor(self.ss) self.mats.build() + def test_MParams_owner(self): + """ + Tesst MParams owner before system initialization. + """ + self.assertIs(self.mats.Cft.owner, self.mats) + self.assertIs(self.mats.CftT.owner, self.mats) + self.assertIs(self.mats.Cg.owner, self.mats) + self.assertIs(self.mats.Cl.owner, self.mats) + self.assertIs(self.mats.Csh.owner, self.mats) + self.assertIs(self.mats.Bbus.owner, self.mats) + self.assertIs(self.mats.Bf.owner, self.mats) + self.assertIs(self.mats.Pbusinj.owner, self.mats) + self.assertIs(self.mats.Pfinj.owner, self.mats) + self.assertIs(self.mats.PTDF.owner, self.mats) + self.assertIs(self.mats.LODF.owner, self.mats) + def test_MParam(self): """ Test `MParam`. From 223b9b2d8fd333af4d49af0f5f5aab6cd6603acf Mon Sep 17 00:00:00 2001 From: jinningwang Date: Tue, 18 Jun 2024 08:25:34 -0400 Subject: [PATCH 37/44] Typo --- tests/test_mats.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_mats.py b/tests/test_mats.py index c239b327..0bd3cab2 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -40,9 +40,9 @@ def test_MParams_owner(self): self.assertIs(self.mats.PTDF.owner, self.mats) self.assertIs(self.mats.LODF.owner, self.mats) - def test_MParam(self): + def test_MParam_instance(self): """ - Test `MParam`. + Test `MParam` instantiate. """ one_vec = MParam(v=sps.csr_matrix(np.ones(self.ss.Bus.n))) # check if `_v` is `sps.csr_matrix` instance From c9cca159ceb7aa124e0f7d9cd6cf189b3d783183 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Tue, 18 Jun 2024 08:32:37 -0400 Subject: [PATCH 38/44] Fix MatProcessor export_csv --- ams/core/matprocessor.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index 21b576d5..7a4ab04b 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -86,7 +86,7 @@ def export_csv(self, path=None): The path of the exported csv file """ - if not path: + if path is None: if self.owner.system.files.fullname is None: logger.info("Input file name not detacted. Using `Untitled`.") file_name = f'Untitled_{self.name}' @@ -94,6 +94,8 @@ def export_csv(self, path=None): file_name = os.path.splitext(self.owner.system.files.fullname)[0] file_name += f'_{self.name}' path = os.path.join(os.getcwd(), file_name + '.csv') + else: + file_name = os.path.splitext(os.path.basename(path))[0] pd.DataFrame(data=self.v, columns=self.col_names, index=self.row_names).to_csv(path) From dd210f7953cb4ecc391e5cbc3cda535e70d33cdc Mon Sep 17 00:00:00 2001 From: jinningwang Date: Tue, 18 Jun 2024 08:32:53 -0400 Subject: [PATCH 39/44] Add test for MatProcessor export_csv --- tests/test_mats.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/tests/test_mats.py b/tests/test_mats.py index 0bd3cab2..9074f27b 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -1,4 +1,6 @@ import unittest +import os + import numpy as np import ams @@ -40,6 +42,21 @@ def test_MParams_owner(self): self.assertIs(self.mats.PTDF.owner, self.mats) self.assertIs(self.mats.LODF.owner, self.mats) + def test_MParam_export_csv(self): + """ + Test MParams export. + """ + # --- path is not given --- + exported_csv = self.mats.Cft.export_csv() + self.assertTrue(os.path.exists(exported_csv)) + os.remove(exported_csv) + + # --- path is given --- + path = 'CASE300_Cft.csv' + exported_csv = self.mats.Cft.export_csv(path) + self.assertTrue(os.path.exists(path)) + os.remove(path) + def test_MParam_instance(self): """ Test `MParam` instantiate. From f3b296d935682c467102c4cc68e6b3bb001b3f46 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Tue, 18 Jun 2024 08:48:54 -0400 Subject: [PATCH 40/44] Assign MatProcessors MParams row and col names in System.setup() --- ams/core/matprocessor.py | 2 ++ ams/system.py | 28 ++++++++++++++++++++++++++++ 2 files changed, 30 insertions(+) diff --git a/ams/core/matprocessor.py b/ams/core/matprocessor.py index 7a4ab04b..f9f11154 100644 --- a/ams/core/matprocessor.py +++ b/ams/core/matprocessor.py @@ -141,6 +141,8 @@ def class_name(self): class MatProcessor: """ Class for matrix processing in AMS system. + + The MParams' row names and col names are assigned in `System.setup()`. """ def __init__(self, system): diff --git a/ams/system.py b/ams/system.py index 4682f97c..ba243b9c 100644 --- a/ams/system.py +++ b/ams/system.py @@ -441,6 +441,34 @@ def setup(self): self.Bus.set(src='type', attr='v', idx=self.Slack.bus.v, value=np.ones(self.Slack.n)) + # --- assign column and row names --- + self.mats.Cft.col_names = self.Line.idx.v + self.mats.Cft.row_names = self.Bus.idx.v + + self.mats.CftT.col_names = self.Bus.idx.v + self.mats.CftT.row_names = self.Line.idx.v + + self.mats.Cg.col_names = self.StaticGen.get_idx() + self.mats.Cg.row_names = self.Bus.idx.v + + self.mats.Cl.col_names = self.PQ.idx.v + self.mats.Cl.row_names = self.Bus.idx.v + + self.mats.Csh.col_names = self.Shunt.idx.v + self.mats.Csh.row_names = self.Bus.idx.v + + self.mats.Bbus.col_names = self.Bus.idx.v + self.mats.Bbus.row_names = self.Bus.idx.v + + self.mats.Bf.col_names = self.Bus.idx.v + self.mats.Bf.row_names = self.Line.idx.v + + self.mats.PTDF.col_names = self.Bus.idx.v + self.mats.PTDF.row_names = self.Line.idx.v + + self.mats.LODF.col_names = self.Line.idx.v + self.mats.LODF.row_names = self.Line.idx.v + _, s = elapsed(t0) logger.info('System set up in %s.', s) From 741765d9f42b17e5d5d9a1073f6dbdabcdf865a9 Mon Sep 17 00:00:00 2001 From: jinningwang Date: Tue, 18 Jun 2024 08:49:21 -0400 Subject: [PATCH 41/44] Add test in MParam export_csv --- tests/test_mats.py | 40 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 40 insertions(+) diff --git a/tests/test_mats.py b/tests/test_mats.py index 9074f27b..c2008185 100644 --- a/tests/test_mats.py +++ b/tests/test_mats.py @@ -57,6 +57,46 @@ def test_MParam_export_csv(self): self.assertTrue(os.path.exists(path)) os.remove(path) + def test_MParams_export(self) -> None: + """ + Test MParams export. + """ + cft = self.mats.Cft.export_csv() + self.assertTrue(os.path.exists(cft)) + os.remove(cft) + + cftt = self.mats.CftT.export_csv() + self.assertTrue(os.path.exists(cftt)) + os.remove(cftt) + + cg = self.mats.Cg.export_csv() + self.assertTrue(os.path.exists(cg)) + os.remove(cg) + + cl = self.mats.Cl.export_csv() + self.assertTrue(os.path.exists(cl)) + os.remove(cl) + + csh = self.mats.Csh.export_csv() + self.assertTrue(os.path.exists(csh)) + os.remove(csh) + + bbus = self.mats.Bbus.export_csv() + self.assertTrue(os.path.exists(bbus)) + os.remove(bbus) + + bf = self.mats.Bf.export_csv() + self.assertTrue(os.path.exists(bf)) + os.remove(bf) + + ptdf = self.mats.PTDF.export_csv() + self.assertTrue(os.path.exists(ptdf)) + os.remove(ptdf) + + lodf = self.mats.LODF.export_csv() + self.assertTrue(os.path.exists(lodf)) + os.remove(lodf) + def test_MParam_instance(self): """ Test `MParam` instantiate. From 826d5396de64eea34779557f20515f66805981ab Mon Sep 17 00:00:00 2001 From: jinningwang Date: Tue, 18 Jun 2024 08:57:05 -0400 Subject: [PATCH 42/44] Set NumPy <= 2.0 --- docs/source/release-notes.rst | 1 + requirements.txt | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/source/release-notes.rst b/docs/source/release-notes.rst index 5f8b959c..ff8a69f5 100644 --- a/docs/source/release-notes.rst +++ b/docs/source/release-notes.rst @@ -17,6 +17,7 @@ v0.9.8 (2024-06-18) - Add in 'cases/matpower/Benchmark.json' for benchmark with MATPOWER - Improve known good results test - Minor fix in `main.py` selftest part +- Set dependency NumPy version to be <2.0.0 to avoid CVXPY compatibility issues v0.9.7 (2024-05-24) ------------------- diff --git a/requirements.txt b/requirements.txt index 6466e12f..c316f190 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,5 @@ kvxopt>=1.3.2.1 -numpy +numpy<2.0 scipy sympy>=1.6,!=1.10.0 pandas From 6c30476f9f755d032707c6cd709f0712daef805d Mon Sep 17 00:00:00 2001 From: jinningwang Date: Tue, 18 Jun 2024 09:04:14 -0400 Subject: [PATCH 43/44] In azurepipelines, set kvxopt via conda on Mac and Windows --- README.md | 2 ++ azure-pipelines.yml | 2 ++ 2 files changed, 4 insertions(+) diff --git a/README.md b/README.md index 40445326..39e8a4c9 100644 --- a/README.md +++ b/README.md @@ -59,6 +59,8 @@ Use the following resources to get involved. # Installation +***NOTE:*** ``kvxopt`` is recommended to install via ``conda`` as sometimes ``pip`` struggles to set the correct path for compiled libraries. + AMS is released as ``ltbams`` on PyPI and conda-forge. Install from PyPI using pip: diff --git a/azure-pipelines.yml b/azure-pipelines.yml index 37ab0c43..e9b0348c 100644 --- a/azure-pipelines.yml +++ b/azure-pipelines.yml @@ -51,6 +51,7 @@ jobs: displayName: 'Use Python $(python.version)' - script: | + conda install -c conda-forge kvxopt python -m pip install --upgrade pip pip install .[all] displayName: 'Install dependencies' @@ -83,6 +84,7 @@ jobs: - script: | call activate amsEnv + conda install -c conda-forge kvxopt python -m pip install --upgrade pip pip install pytest pytest-azurepipelines pip install .[dev,interop] From bd978b3ddeee3727cb739dda25e353586d28ab1f Mon Sep 17 00:00:00 2001 From: jinningwang Date: Tue, 18 Jun 2024 11:51:45 -0400 Subject: [PATCH 44/44] Fix azure python versions --- azure-pipelines.yml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/azure-pipelines.yml b/azure-pipelines.yml index e9b0348c..19d81dc7 100644 --- a/azure-pipelines.yml +++ b/azure-pipelines.yml @@ -41,8 +41,8 @@ jobs: timeoutInMinutes: 360 strategy: matrix: - macos_python311: - python.version: '3.11' + macos_python3.10: + python.version: '3.10' steps: - task: UsePythonVersion@0 @@ -67,8 +67,8 @@ jobs: timeoutInMinutes: 360 strategy: matrix: - win_python311: - python.version: '311' + win_python3.9: + python.version: '3.9' steps: - powershell: Write-Host "##vso[task.prependpath]$env:CONDA\Scripts"