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基于自适应免疫算法的有源配电网故障定位

马龙 马杰 杨浩 石志桐 邱玉成

宁夏电力Issue(4):31-36,6.
宁夏电力Issue(4):31-36,6.DOI:10.3969/j.issn.1672-3643.2024.04.006

基于自适应免疫算法的有源配电网故障定位

Fault section location of active distribution network based on multi-layer model

马龙 1马杰 1杨浩 1石志桐 1邱玉成1

作者信息

  • 1. 国网宁夏电力有限公司银川供电公司,宁夏 银川 750011
  • 折叠

摘要

Abstract

To address the new challenges brought by large-scale distributed generation(DG)grid connection to fault location in distribution networks,an active distribution network fault section localization method based on adaptive immune algorithm is proposed.Based on adaptive immune algorithm for fault segment localization,it effectively reduces the probability of traditional immune algorithms falling into local optimal solutions in the case of distorted fault informa-tion.Firstly,an innovative nonlinear adaptive cross mutation operator improvement strategy is introduced to establish an adaptive immune algorithm function calculation model suitable for distributed power generation access.Then,based on this algorithm,the remote signal information of each feeder terminal unit(FTU)node is processed to quickly and accu-rately locate the fault section.Based on MATLAB,simulation tests were conducted on an IEEE 33 node distribution network with DG,and the test results showed that this method significantly improved the speed and accuracy of fault localization.

关键词

配电网/分布式电源/故障定位/自适应免疫算法

Key words

distribution network/distributed power supply/fault location/adaptive genetic algorithm

分类

信息技术与安全科学

引用本文复制引用

马龙,马杰,杨浩,石志桐,邱玉成..基于自适应免疫算法的有源配电网故障定位[J].宁夏电力,2024,(4):31-36,6.

宁夏电力

1672-3643

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