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Hierarchical AC Optimal Power Flow of Multi-microgrid Systems Using a Combination of Learning-based and Lagrangian Methods

EE 300 Thesis

cases folder: contains the MATPOWER cases for the simulation testbed (IEEE 69-bus distribution system and 7 microgrids)
code_power_exchange_determination.m: determines the amount of surplus/deficiency, along with the offer price for the surplus
code_dispatch_ds.m: performs a Lagrangian-based/conventional AC OPF for economic dispatch at the distribution system (DS) level
code_dispatch_mg.m: performs a Lagrangian-based/conventional AC OPF for economic dispatch at the microgrid (MG) level
version19.ipynb (rename - version19, initial release): facilitates the training of the artificial neural network-multilayer perceptron (ANN-MLP) model for the DS-level learning-based AC OPF
model.h5 (version19, initial release): contains the resulting ANN-MLP model of the DS-level learning-based AC OPF for the simulation testbed

Note: The codes/scripts and MATPOWER cases are only applicable to the selected simulation testbed. For other multi-microgrid systems, please adjust the system parameters and ANN-MLP architecture.