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Research on wavelet neural network for fault location in pow...

Research on wavelet neural network for fault location in power distribution network

作     者:TIAN Shu,WANG Xiao-wei,WANG Juan-juan (School of Electrical Engineering and Automation,Henan Polytechnic University,454000) 

会议名称:《2009年中国智能自动化会议》

会议日期:2009年

学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080802[工学-电力系统及其自动化] 0808[工学-电气工程] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

关 键 词:Distribution network Neural network Fault location Wavelet analysis 

摘      要:The distribution network own characteristics such as:complicated topology and variable operation mode,so the fault location problem of the distribution network has not been *** on the analysis of the single-phase ground of the system,this paper combines wavelet analysis and neural *** method not only utilize time-frequency features and zoom capabilities of wavelet analysis in order to pick up the characteristics of component,but also take advantage of the capacity of non-linear fitting of neural network. These studies establish correspondence between characteristics of component and fault location,and resolve successfully the problem of the precision positioning,the thought of fault location has fully theoretical *** data of EMTP/ATP simulation shows that the scheme has high precision,adaptable and reliable performance.

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