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基于小波包的配电网故障选线距离判别方法
引用本文:李丽,龙登明. 基于小波包的配电网故障选线距离判别方法[J]. 上海电力学院学报, 2014, 30(5): 423-427
作者姓名:李丽  龙登明
作者单位:上海电力学院经济与管理学院;上海电力公司信通公司;
摘    要:针对目前小波包选线方法的不足,提出了一种利用距离判别的统计方法以对小波包分解的信息进行充分利用,计算实时能量向量与非故障线路分布的距离以进行选线.充分利用了小波包分解的各频段能量信息和频段能量之间的相关信息,能较好地提高故障选线的正确性,并能结合暂态方向分量、五次谐波等稳态分量的统计特征使用.

关 键 词:故障选线  小波包  距离判别
收稿时间:2014-09-22

A Fault Line Detection Method of Neutral Indirect Ground System Based on Wavelet Packet and Distance-Discrimination Analysis
LI Li and LONG Dengming. A Fault Line Detection Method of Neutral Indirect Ground System Based on Wavelet Packet and Distance-Discrimination Analysis[J]. Journal of Shanghai University of Electric Power, 2014, 30(5): 423-427
Authors:LI Li and LONG Dengming
Affiliation:LI Li, LONG Dengming ( 1. School of Economies and Management, Shanghai University of Electric Power, Shanghai 200090, China ; 2. Department of Information and Communication, State Grid Shanghai Municipal Electronic Power Company, Shanghai 200122,China)
Abstract:A statistical method by using distance-discrimination analysis is presented to utilize the information obtained from wavelet packet decomposition. The method employs a random energy vector to express the energy of each frequency band of the transient energy component and collects the statistic features of normal lines. The fault line then can be selected by getting the line with the maximum distance between its energy vectors with the normal line energy distribution. The information of each frequent bind and the relative informafions between different frequent binds are made full use of and then can increase the accuracy of fault line detection. The method also combines the demographic characteristics of transient direction components and steady-state fifth harmonic components to perform fault line selection.
Keywords:fault line detection  wavelet packet  distance discrimination
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