自动化与仪器仪表2024,Issue(7) :356-360,364.DOI:10.14016/j.cnki.1001-9227.2024.07.356

基于改进遗传算法的配电自动化开关故障重构及其可靠性分析

Distribution automation switch fault reconstruction and its reliability analysis based on improved genetic algorithm

金鑫琨
自动化与仪器仪表2024,Issue(7) :356-360,364.DOI:10.14016/j.cnki.1001-9227.2024.07.356

基于改进遗传算法的配电自动化开关故障重构及其可靠性分析

Distribution automation switch fault reconstruction and its reliability analysis based on improved genetic algorithm

金鑫琨1
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作者信息

  • 1. 国网四川省电力公司成都供电公司,成都 610000
  • 折叠

摘要

为了解决配电系统中传统的手动开关存在的反应不及时、智能化程度低等问题,研究构建了一种基于改进遗传算法的配电自动化开关可靠性分析模型.研究首先在自动化开关的基础上对配电系统中的故障进行重构.并在重构的基础上利用改进遗传算法对自动化开关的可靠性进行分析.结果表明在研究构建的可靠性分析模型中,故障重构成功率和负荷损失值范围分别为92.16%、[-7.3-8.5V].同时可靠性分析模型在数据处理过程中的损失精度仅为0.21,重构评估耗时为5.6 s,且故障查找耗、非故障区域恢复供电时间和故障信息传递耗时分别为38 min、49 min和9 min,均优于对比方法.这说明基于改进遗传算法的配电自动化开关故障重构能够有效提高系统的可靠性和稳定性,减少故障发生时的影响.

Abstract

In order to solve the problems of untimely response and low intelligence of the traditional manual switch in the power distribution system,the study constructs a reliability analysis model of power distribution automated switch based on improved genetic algorithm.The study firstly reconstructs the faults in the distribution system on the basis of the automated switch.And the reliability of automated switch is analyzed on the basis of reconstruction using improved genetic algorithm.The results show that in the reliability analysis model constructed by the study,the success rate of fault reconstruction and the range of load loss values are 92.16%and[-7.3-8.5V],respectively.Meanwhile,the loss accuracy of the reliability analysis model in the data processing process is only 0.21,the reconstruction assessment time consumed is 5.6 s,and the fault finding consumption,the time to restore power supply in non-faulty areas and the time consumed for fault information transfer are 38 min,49 min and 9 min,respectively,which are all better than the comparison methods.This indicates that the fault reconstruction of distribution automation switch based on improved genetic algo-rithm can effectively improve the reliability and stability of the system and reduce the impact of the fault occurrence.

关键词

遗传算法/配电系统/自动化开关/可靠性/故障重构

Key words

genetic algorithm/power distribution system/automation switches/dependability/fault reconstruction

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出版年

2024
自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
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