Research on fault location method for low-voltage active distribution network based on correlation of main frequency components

Daohong Lin, Hongyan Liu, Xinshu Wan, Wangcheng Zhu, Qiang Wu and YanJing Wang

International Journal of Critical Infrastructures, 2022, vol. 18, issue 1, 14-31

Abstract: In order to solve the problems of poor fault tolerance and low fault identification rate, a fault location method based on the correlation of main frequency components is proposed. Based on the distribution network of main frequency components extracted by Prony algorithm, this paper introduces the fault location model of low-voltage active distribution network built by hierarchical algorithm, and realises the correlation of main frequency components based on the research of fault location method of low-voltage active distribution network based on intelligent algorithm. The experimental results show that the fault tolerance rate of the proposed method based on the correlation of main frequency components is over 76% and the fault recognition rate is over 60%, which appears to be higher than several other methods. It is consequently believed that the proposed method may stand a good chance to offer better fault location performance.

Keywords: main frequency components; correlation; low-voltage active power; distribution network; fault; location. (search for similar items in EconPapers)
Date: 2022
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