微型电脑应用2024,Vol.40Issue(5) :73-76.

基于改进BPSO算法的配电网故障诊断监控系统设计与应用

Design and Application of Distribution Network Fault Diagnosis Monitoring System Based on Improved PSO Algorithm

李景华 张刚 郭昌林 张鹏
微型电脑应用2024,Vol.40Issue(5) :73-76.

基于改进BPSO算法的配电网故障诊断监控系统设计与应用

Design and Application of Distribution Network Fault Diagnosis Monitoring System Based on Improved PSO Algorithm

李景华 1张刚 1郭昌林 1张鹏1
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作者信息

  • 1. 国网山东省电力公司临沂供电公司,山东,临沂 276000
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摘要

为了提高分布式配电网的安全与稳定性,实现配电网故障的快速定位和处置,构建基于B/S架构的配电网故障诊断监控系统.系统自上而下分为系统评估层、数据分析层和监测执行层.为了满足分布式配电网故障定位要求,在传统BPSO算法基础上,给出3种改进BPSO算法,并通过在分布式配电网中的应用结果,比较3种改进算法的准确度、寻优效率和容错率.结果表明,引入混合蛙跳算法的改进BPSO算法在故障定位准确度和定位效率上明显优于原BPSO算法.

Abstract

In order to improve the security and stability of the distributed distribution network and realize the rapid location and disposal of distribution network faults,a distribution network fault diagnosis monitoring system is built based on the B/S archi-tecture.The system is divided into system evaluation layer,data analysis layer and monitoring execution layer from top to bot-tom.In order to meet the requirements of fault location in distributed distribution networks,three improved BPSO algorithms are presented based on the traditional BPSO algorithm.Through the application results in distributed distribution networks,the accuracy,optimization efficiency and fault tolerance of the three improved algorithms are compared.The results show that the improved BPS()algorithm with hybrid leapfrog algorithm is obviously superior to the original BPSO algorithm.

关键词

分布式配电网/故障诊断监控系统/改进BPSO算法

Key words

distributed distribution network/fault diagnosis monitoring system/improved BPSO algorithm

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基金项目

国家电网山东省电力公司科技项目(520607210003)

出版年

2024
微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
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