摘要
配电网作为接入用户前的最后一道环节,其安全稳定运行直接影响着对用户的供电可靠性,因此配电网故障定位是一项重要的工作,值得深入研究。研究了基于BP神经网络的配电网故障定位模型,对BP神经网络的输入层、输出层和隐含层进行了设计。最后通过简单配电网系统数据对本文方法进行有效性验证。
As the last link before access to users,the safe and stable operation of the distribution network directly affects the reliability of power supply to users.Therefore,the fault positioning of the distribution network is an important work,which is worth in-depth study.In this paper,we study the fault localization model of distribution network based on BP neural network,and design the input layer,output layer and hidden layer of BP neural network.Finally,the validity of this method is verified by simple distribution network system data.
作者
武翔
WU Xiang(State Grid Wenxi County Power Supply Company,Yuncheng 043800,China)
出处
《电气开关》
2024年第3期72-74,共3页
Electric Switchgear
关键词
配电网
故障定位
电流数据状态
故障点
distribution network
fault location
current data status
fault point