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.
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.
出处
《上海电力学院学报》
CAS
2014年第5期423-427,共5页
Journal of Shanghai University of Electric Power
关键词
故障选线
小波包
距离判别
fault line detection
wavelet packet
distance discrimination
作者简介
通讯作者：李丽（1962-），女，副教授，山西平定人．主要研究方向为电力信息系统技术．E-mail：shuidianl23@126．com．
