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投稿时间：2011-07-04
投稿时间：2011-07-04
中文摘要: 目前配电网普遍采用中性点不直接接地的方式(又称小电流系统),配电网中单相接地仍是主要的故障形式,准确可靠的选线问题仍未得到有效解决.采用小波分析和遗传优化神经网络相结合的方法实现接地故障选线.Matlab仿真结果表明,该方法能够实现准确可靠的选线.
Abstract:The neutral of distribution network is usually non-direct grounding at present ( small current system).In distribution network，phase to ground fault is the primary fault.Selecting the fault line truly and reliably is still a difficult problem.A method of combining Wavelet and GA-BP neural network ( NN) is utilized to select the faulty line.The Matlab simulation verifies the effectiveness of the proposed method.
文章编号：20110620 中图分类号： 文献标志码：
基金项目:
引用文本：
唐江,张永健.基于小波和GA-BP网络的小电流接地选线方法[J].上海电力大学学报,2011,27(6):616-620.
TANG Jiang,ZHANG Yong-jian.Method of Fault Line Selection in Small Current Neutral Grounding System Based on Wavelet Analysis and GA-BP NN[J].Journal of Shanghai University of Electric Power,2011,27(6):616-620.
唐江,张永健.基于小波和GA-BP网络的小电流接地选线方法[J].上海电力大学学报,2011,27(6):616-620.
TANG Jiang,ZHANG Yong-jian.Method of Fault Line Selection in Small Current Neutral Grounding System Based on Wavelet Analysis and GA-BP NN[J].Journal of Shanghai University of Electric Power,2011,27(6):616-620.