Distribution network fault recovery strategy based on IBPSO-SA algorithm

Yi Wu; En Bai; Yi Zhang

doi:10.1117/12.2680088

31 May 2023 Distribution network fault recovery strategy based on IBPSO-SA algorithm

Yi Wu, En Bai, Yi Zhang

Proceedings Volume 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023); 127043J (2023) https://doi.org/10.1117/12.2680088
Event: 8th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2023), 2023, Hangzhou, China

Abstract

In order to further improve the efficiency and reliability of the active distribution net-work in the process of failure recovery, based on the IBPSO-SA algorithm, the failure recovery analysis of the active distribution network with a high proportion of distributed power sources is carried out. On the basis of preliminary isolated island partitioning, the three objective functions of the largest total amount of important load recovery, the smallest network loss, and the smallest number of switching operations are considered comprehensively. The IBPSO-SA algorithm is used to solve the optimal fault recovery strategy. The IEEE33-node distribution network model is used for simulation verification. The results show that the time-varying and load characteristic models of photovoltaic energy storage systems are superior, and the active distribution network fault recovery strategy based on the IBPSO-SA algorithm can reliably restore power supply.

Citation Download Citation

Yi Wu, En Bai, and Yi Zhang "Distribution network fault recovery strategy based on IBPSO-SA algorithm", Proc. SPIE 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023), 127043J (31 May 2023); https://doi.org/10.1117/12.2680088

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