基于BP神经网络的配电网故障定位方法研究
Research on the Fault Location Method of Power Distribution Network Based on BP Review Network
武翔1
作者信息
- 1. 国网山西省电力公司国网闻喜县供电公司,山西 运城 043800
- 折叠
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.
Abstract
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 impor-tant 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.Final-ly,the validity of this method is verified by simple distribution network system data.
关键词
配电网/故障定位/电流数据状态/故障点Key words
distribution network/fault location/current data status/fault point引用本文复制引用
出版年
2024
NETL
NSTL
万方数据