Ishanki / DES-Multiphase-OPF

Optimal design of Distributed Energy Systems (DES) subject to multiphase optimal power flow (MOPF) constraints applicable to distribution networks. A new algorithm with regularised complementarity constraints is used to solve the combined nonconvex problem.

DES-Multiphase-OPF

Optimal design of Distributed Energy Systems (DES) subject to multiphase optimal power flow (MOPF) constraints applicable to distribution networks. A new algorithm with regularised complementarity constraints is used to solve the combined nonconvex problem.

Technical Information

DES-MOPF refers to the combined DES design model with multiphase AC optimal power flow.
DES-OPF refers to the combined DES design model with balanced AC optimal power flow.
To run a model, use the .py file with "main" in its filename.
The models require one mixed-integer linear solver and nonlinear programming solver. 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 models, are provided in each folder.

Preprint:

I. De Mel, O. V. Klymenko, and M. Short, “Complementarity Reformulations for the Optimal Design of Distributed Energy Systems with Multiphase Optimal Power Flow,” Apr. 2022,
Available: https://arxiv.org/abs/2204.12963.

License:

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