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Fault-Section Location of Distribution Network based on Adaptive Mutation Shuffled Frog Leaping Algorithm

Volume 15, Number 4, April 2019, pp. 1220-1226
DOI: 10.23940/ijpe.19.04.p17.12201226

Yanzhou Sun, Han Wu, Yawei Zhu, Yanfang Wei, and Tieying Zhao

School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, 454000, China


(Submitted on December 23, 2018; Revised on February 10, 2019; Accepted on April 15, 2019)

Abstract:

Fast and accurate identification of feeder fault section plays a crucial role in improving the stability of distribution networks. We address the low accuracy and unsatisfactory effect of traditional algorithms when the fault indicator has been used for fault location of distribution network lines. This paper proposes a kind of fault location method based on an adaptive mutation shuffled frog leaping algorithm (AMSFLA), which introduces an adaptive mutation factor. This proposed method was validated by simulation with a typical IEEE 33-bus distribution network model and has been shown to effectively solve the premature problem that exists in the classical shuffled frog leaping algorithm (SLFA), as well as speed up the calculation and accurately locate the fault section when multiple point faults and fault signal distortion occur.

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