Multi-sourced power system restoration strategy based on modified Prim’s algorithm

Authors

  • Artur Łukaszewski Electrical Power Engineering Institute, Faculty of Electrical Engineering, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland https://orcid.org/0000-0002-2542-0787
  • Łukasz Nogal Electrical Power Engineering Institute, Faculty of Electrical Engineering, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland https://orcid.org/0000-0002-3983-6345

DOI:

https://doi.org/10.24425/bpasts.2021.137942

Abstract

Self-healing grids are one of the most developing concepts applied in electrical engineering. Each restoration strategy requires advanced algorithms responsible for the creation of local power systems. Multi-agent automation solutions dedicated for smart grids are mostly based on Prim’s algorithm. Graph theory in that field also leaves many problems unsolved. This paper is focused on a variation of Prim’s algorithm utility for a multi-sourced power system topology. The logic described in the paper is a novel concept combined with a proposal of a multi-parametrized weight calculation formula representing transmission features of energy delivered to loads present in a considered grid. The weight is expressed as the combination of three elements: real power, reactive power, and real power losses. The proposal of a novel algorithm was verified in a simulation model of a power system. The new restoration logic was compared with the proposal of the strategy presented in other recently published articles. The novel concept of restoration strategy dedicated to multi-sourced power systems was verified positively by simulations. The proposed solution proved its usefulness and applicability.

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Published

2021-08-31

How to Cite

Łukaszewski, Artur, and Łukasz Nogal. “Multi-Sourced Power System Restoration Strategy Based on Modified Prim’s Algorithm”. Bulletin of the Polish Academy of Sciences Technical Sciences, vol. 69, no. 5, Aug. 2021, p. e137942, doi:10.24425/bpasts.2021.137942.

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