Ishanki / Discrete-DES-MOPF

Discrete designs for Distributed Energy Systems with Multiphase Optimal Power Flow.

Discrete-DES-MOPF

Discrete designs for Distributed Energy Systems with Multiphase Optimal Power Flow.

Technical Information

Use main.py under "Code" to run the model with the parameters provided.
It is advised to run the models with the MILP solver CPLEX and NLP solver CONOPT (these are the defaults).
Note that the results from the OPF/MOPF classes (voltage magnitudes, angles) are all returned in p.u. Please use the bases of these to convert them to SI units.

Dependencies and versions used during testing:

Pyomo 5.7.3
Pandas 0.25.1
Numpy 1.17.0
xlrd 1.2.0

Case study:

The original IEEE EU LV Test Case can be found here:
https://cmte.ieee.org/pes-testfeeders/resources/
All the input files for the modified test case, which is used to test the model, are provided in the "Code" folder.

Preprint:

I. De Mel, O. V. Klymenko, and M. Short, “Discrete Optimal Designs for Distributed Energy Systems with Nonconvex Multiphase Optimal Power Flow,” Apr. 2022,
Available: https://arxiv.org/abs/2209.14354.

License:

Copyright (c) 2022, Ishanki De Mel. GPL-3.