摘要
针对频繁发生的配网线路故障,提出了一种基于粒子群算法的配网线路故障诊断方法。根据网络拓扑结构形成开关函数,利用馈线终端设备对故障信号进行采集,通过对采集到的故障信号进行“编码-信号”的映射关系,构建以开关函数为基础的目标函数。采用二进制粒子群算法对目标函数进行求解,最终输出最优解对应的线路编码,通过对基于智能算法的配网故障定位进行研究,满足了传统辐射型配网和含分布式电源配网对故障快速定位的需求,从而提高了保护装置的可靠性,对于短路故障保护有着重要作用,具有良好的经济和社会价值。
A particle swarm optimization algorithm based fault diagnosis method for frequently occurring distribution network line faults is proposed.Based on the network topology structure,a switch function is formed,and fault signals are collected using feeder terminal equipment.By mapping the collected fault signals into an "encoding signal" relationship,an objective function based on the switch function is constructed.The binary particle swarm optimization algorithm is used to solve the objective function,and the optimal solution corresponding to the line code is ultimately output.Through the study of intelligent algorithm based fault localization in distribution networks,the traditional radial distribution networks and distribution networks with distributed power sources are met for fast fault localization,thereby improving the reliability of protection devices.It plays an important role in short-circuit fault protection and has good economic and social value.
作者
兰强
郑茜元
邱东
曾清竹
徐昆
唐可
LAN Qiang;ZHENG Qianyuan;QIU Dong;ZENG Qingzhu;XU Kun;TANG Ke(State Grid Sichuan Electric Power Company,Chengdu Power Supply Company,Chengdu 610042,China;Chengdu Gongbaili Automation Equipment Co.,Ltd.,Chengdu 610041,China)
出处
《电工技术》
2025年第1期60-62,69,共4页
Electric Engineering
关键词
二进制粒子群算法
FTU
线路故障
故障诊断
binary particle swarm optimization algorithm
FTU
line failure
fault diagnosis
