电测与仪表2024，Vol.61Issue(1)：183-188,6.DOI:10.19753/j.issn1001-1390.2024.01.028
基于GA优化BP神经网络的小电流接地故障选线方法
Line selection method of small current grounding fault based on GA optimized BP neural network
徐思旸 1范剑英 1丁强2
作者信息
- 1. 哈尔滨理工大学测控技术与通信工程学院,哈尔滨 150080||哈尔滨理工大学测控技术与仪器黑龙江省高校重点实验室,哈尔滨 150080
- 2. 烟台东方威思顿电气有限公司,山东烟台 264000
- 折叠
摘要
Abstract
The algorithm of GA optimized BP neural network is introduced into the line selection method of small current grounding fault.This paper conducts simulation experiment based on MATLAB,extracts the various characteristic quanti-ties of zero-sequence current signal by traditional line selection methods,such as wavelet packet method,fifth harmonic method,fundamental wave ratio,amplitude ratio and phase ratio method,and calculates the fault measure data using fault measure function,and then,inputs the data into GA-BP neutral network and single BP neutral network respectively for training and testing,discusses the difference in line selection performance between GA-BP neural network algorithm and single BP neural network algorithm,and outputs the fault line selection results and compares with the fault measure data based on each line selection method.The results show that the GA-BP neutral network combining multiple traditional line selection methods has much higher accuracy rate than transitional counterparts,and its selection speed and precision is su-perior over single BP neutral network,which can carry out fault line selection in a quick and effective way,satisfying the requirements of fault line selection in the distribution network.关键词
遗传算法/故障选线/BP神经网络/故障测度Key words
genetic algorithm/fault line selection/BP neural network/fault measures分类
动力与电气工程引用本文复制引用
徐思旸,范剑英,丁强..基于GA优化BP神经网络的小电流接地故障选线方法[J].电测与仪表,2024,61(1):183-188,6.
