The code for the integration of stability indexes and global sensitivity analysis of fusion index in Multi-outfeed HVDC
Resources and extra documentation for the manuscript "A Global Sensitivity-based Identification of Key Factors on Stability of Power Grid with Multi-outfeed HVDC" published in IEEE Latin America Transactions. The project hierarchy and folders description is as follows
- MATLAB_EWF_AHP: The effectiveness verification and fusion of stability indexes.
make_plots.m
. The actual power grid simulation data in the engineering software PSD-BPA is used to verify the effectiveness of various stability indexes.EWF_AHP.m
. The code for the entropy weight-fuzzy analytic hierarchy process method, after calculating the comprehensive weights, combines multiple indexes in each sample into a single comprehensive index.
- PYTHON_GSA: Global sensitivity analysis of key operational variables in the system that affect the comprehensive index.
gaussian_process_emulator.py
. Methods of training and making predictions using a Gaussian Process emulator.example_gaussian_process_emulator.py
. Example of how to train and test a Gaussian process emulator. Gaussian process is used to capture the correlation between parameterized operational variables and the comprehensive indicator.sensitivity_analysis_sobol.py
. Implementation of Sobol sensitivity analysis using a Gaussian process emulator.example_sobol.py
. Example of how to extract Sobol sensitivities.Sobol method is used to analyze the key variables that influence the comprehensive index.data.csv
. An example data file containing the inputs and ouputs of an agent based model.
GraphicalAbstract.png
: The figure for theREADME.md
file.