摘要
配电网故障区域分布数据相似度较高,无法直接准确定位故障区域,会导致故障排除时间增加,维护效率降低。为了解决此问题,提出一种基于反向变异麻雀搜索算法的馈线故障区域直接定位方法。引入反向变异麻雀搜索算法对预分析区域构建故障树,对故障区域特征进行分类评估,从而提高故障排除的效率和维护的效果。仿真实验表明,所提出的定位方法能够快速、精准定位馈线故障区域,满足实际应用相关要求,具有较高的推广价值。
The similarity of distribution data in the fault area of the distribution network is high,which makes it difficult to directly and accurately locate the fault area,resulting in increased troubleshooting time and reduced maintenance efficiency.To solve this problem,a feeder fault area direct location method based on reverse mutation sparrow search algorithm is proposed.The reverse mutation sparrow search algorithm is introduced to build a fault tree for the pre-analytic area,and to classify and evaluate the characteristics of the fault area,so as to improve the efficiency of troubleshooting and the effect of maintenance.Simulation experiments show that the proposed positioning method can quickly and accurately locate the feeder fault area,which meets the relevant requirements of practical applications,and has high promotion value.
作者
纪斌
丁冬
佘妍
王立永
吴红林
陈涛
JI Bin;DING Dong;SHE Yan;WANG Liyong;WU Honglin;CHEN Tao(State Grid Beijing Electric Power Company,Beijing 100031,China;Hefei Power Supply Company of State Grid Anhui Electric Power Company,Hefei 230022,China)
出处
《微型电脑应用》
2025年第11期129-133,共5页
Microcomputer Applications
关键词
反向变异麻雀搜索算法
配电网
馈线故障
定位方法
reverse mutation sparrow search algorithm
distribution network
feeder fault
location method
