Ishanki / DES-OPF-Design

DES MILP design model with balanced nonlinear OPF formulations, which can be solved as an MINLP or NLP with a fixed binary topology.

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Combined DES-OPF Framework for Designing Grid-Connected Distributed Energy Systems

This repository includes an MILP model to design a Distributed Energy System, which can be combined with NLP formulations for balanced AC optimal power flow (OPF) to form an MINLP model overall. The latter model can be solved either using the bi-level method proposed in the preprint, or as a conventional MINLP. \

Note that the results from the OPF class (voltage magnitudes, angles, active/reactive powers, and currents) are all returned in p.u. Please use the bases of these to convert them to SI units.

Preprint (completed results and analysis):
I. De Mel, O. V. Klymenko, and M. Short, “Optimal Design of Distributed Energy Systems Considering the Impacts on Electrical Power Networks,” Mar. 2022,
Available: https://arxiv.org/abs/2109.11228v2

Preliminary analysis - Conference Proceedings:
I. A. De Mel, O. V. Klymenko, and M. Short, “Levels of Approximation for the Optimal Design of Distributed Energy Systems,” Comput. Aided Chem. Eng., vol. 50, pp. 1403–1408, Jan. 2021.
https://doi.org/10.1016/B978-0-323-88506-5.50216-3.

License

Copyright (c) 2020, Ishanki De Mel. GPL-3.

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DES MILP design model with balanced nonlinear OPF formulations, which can be solved as an MINLP or NLP with a fixed binary topology.


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