电力系统保护与控制2012，Vol.40Issue(3)：46-50,5.
基于免疫RBF网络改进小波分析的小电流接地故障选线
Fault line detection in indirectly grounding power system based on wavelet analysis improved by immune RBF network
摘要
Abstract
When single-phase-to-earth fault occurs at faulty phase voltage crossing zero and with big ground resistance in distribution network, the faulty line detection will be misjudged due to the unobvious difference of transient information between fault line and non-fault line based on line detection of wavelet analysis. A fault line detection based on wavelet analysis improved by immune RBF network is proposed. First, wavelet modulus maxima of fault line and non-fault line transient zero-sequence current is clustered at different fault types by immune mechanism. It determines hidden layer centers of RBF network. Then the RBF network is trained with genetic algorithm to obtain optimal weight value. The trained RBF network is applied to fault line detection iri indirectly grounding power system. Simulation result indicates that the faulty line detection by the presented method is more precise.关键词
免疫/RBF网络/小波分析/零序电流/小电流接地Key words
immune/ RBF network/ wavelet analysis/ zero-sequence current/ indirectly grounding分类
信息技术与安全科学引用本文复制引用
陈少华,尹胜兰,莫哲..基于免疫RBF网络改进小波分析的小电流接地故障选线[J].电力系统保护与控制,2012,40(3):46-50,5.基金项目
广东省教育厅电力节能与能源技术重点实验室资助项目(IDSYS200701) （IDSYS200701）
