Optimal Power Flow for Unbalanced Three-Phase Microgrids Using an Interior Point Optimizer

Piyapath Siratarnsophon, Woosung Kim, Nicholas Barry, Debjyoti Chatterjee and Surya Santoso ()
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Piyapath Siratarnsophon: Department of Electrical Engineering, Faculty of Engineering at Sriracha, Kasetsart University, Chon Buri 20230, Thailand
Woosung Kim: Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA
Nicholas Barry: Department of Electrical Engineering and Computer Science, United States Military Academy West Point, West Point, NY 10996, USA
Debjyoti Chatterjee: Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA
Surya Santoso: Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA

Energies, 2023, vol. 17, issue 1, 1-21

Abstract: Optimal power flow (OPF) analysis enables the in-depth study and examination of islanded microgrid design and operation. The development of the analysis framework, including modeling, formulating, and selecting effective OPF solvers, however, is a nontrivial task. As a result, this paper presents a tutorial on an OPF modeling framework, offering a mathematical model that can be readily implemented using established open-source software tools such as OpenDSS, Pyomo, and IPOPT. The framework is versatile, capable of representing single-phase and unbalanced three-phase islanded microgrids. Various inverter models, such as those of grid forming and following equipped with their operating characteristics, can be incorporated. The efficacy of the proposed framework is demonstrated in studying the OPF of single-phase and three-phase microgrids.

Keywords: optimal power flow; power system simulation; islanded microgrid; renewable energy; inverter-based resources; energy storage (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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