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

doi:10.23940/ijpe.19.04.p17.12201226

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (4): 1220-1226.doi: 10.23940/ijpe.19.04.p17.12201226

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

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

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

Revised on ; Accepted on
Contact: E-mail address: hpuwwwh@163.com
About author:All authors are affiliated with the Engineering and Automation School at Henan Polytechnic University. Yanzhou Sun is a Professor with a Doctoral degree from Xi'an Jiaotong University. His research focuses on power supply technology including high voltage engineering. Han Wu and Yawei Zhu are Master's students. Yanfang Wei is an Associate Professor with a Doctoral degree from Hohai University. He is working on power systems including analysis, control, transmission, and distribution. Tieying Zhao is a Lecturer with a Doctoral degree from China University of Mining and Technology.

Abstract

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.

Key words: distribution network, fault indicator, shuffled frog leaping algorithm (SLFA), adaptive mutation factor, fault-section location

Yanzhou Sun, Han Wu, Yawei Zhu, Yanfang Wei, and Tieying Zhao. Fault-Section Location of Distribution Network based on Adaptive Mutation Shuffled Frog Leaping Algorithm [J]. Int J Performability Eng, 2019, 15(4): 1220-1226.

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

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