Distribution network fault zone location based on improved particle swarm algorithm

Peiliang Lv; Jinghong Luo; Weiwei Chai; Shiyun Qiao

doi:10.1117/12.3004604

25 September 2023 Distribution network fault zone location based on improved particle swarm algorithm

Peiliang Lv, Jinghong Luo, Weiwei Chai, Shiyun Qiao

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127885J (2023) https://doi.org/10.1117/12.3004604
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

The increased complexity of the distribution network makes the fault location algorithm much less accurate. The fault information generated when a fault occurs in the distribution network The lack of fault information in the distribution network causes the problem that the traditional localization algorithm cannot locate the fault. To address this situation, an adaptive particle swarm algorithm for fault location is proposed. method. The method introduces the variation parameters in the genetic algorithm, so that it can be adaptively updated according to the environment to improve its localization accuracy and obtain a globally optimal solution. The global optimal solution is obtained. A switch model of the distribution network is constructed, and the feasibility of the algorithm is confirmed by simulation. The simulation results show that the algorithm improves the simulation results show that the algorithm improves the computational speed and anti-interference ability and can locate accurately in the absence of information.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peiliang Lv, Jinghong Luo, Weiwei Chai, and Shiyun Qiao "Distribution network fault zone location based on improved particle swarm algorithm", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127885J (25 September 2023); https://doi.org/10.1117/12.3004604

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