Adaptive Backward/Forward Sweep for Solving Power Flow of Islanded Microgrids

Abhimanyu Kumar, Abhishek Kumar, Rammohan Mallipeddi () and Dong-Gyu Lee
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Abhimanyu Kumar: Department of Artificial Intelligence, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
Abhishek Kumar: Department of Artificial Intelligence, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
Rammohan Mallipeddi: Department of Artificial Intelligence, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
Dong-Gyu Lee: Department of Artificial Intelligence, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea

Energies, 2022, vol. 15, issue 24, 1-16

Abstract: This paper presents an algorithm for solving the power flow (PF) problem of droop-regulated AC microgrids (DRACMs) operating in isolated mode. These systems are based on radial distribution networks without having a slack bus to facilitate conventional computations. Moreover, distributed generation units have to distribute the power and voltage regulation among themselves as a function of operating frequency and voltage droop rather than having a slack bus that regulates voltage and power demands. Based on the conventional backward/forward sweep algorithm (BFS), the proposed method is a derivative-free PF algorithm. To manage the absence of a slack bus in the system, the BFS algorithm introduces new loops, equations, and self-adaptation procedures to its computation procedures. A comparison is presented between the proposed BFS algorithm and other state-of-the-art PF algorithms, as well as PSCAD/EMTDC. In comparison to existing algorithms, the proposed approach is fast, simple, accurate, and easy to implement, and it can be considered an effective tool for planning and analyzing islanded DRACMs.

Keywords: islanded AC microgrid; backward/forward sweep algorithm; distributed generation; self-adaptation; power flow (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: 2022
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