由于故障特征不明显，检测难度大，高阻故障一直是配电网故障识别的难点。利用小波在时域和频域都具有良好的局部化性能，对暂态信号进行多尺度分解，并对各个尺度下的小波系数进行重构，抽取尺度3下的小波重构系数，计算各馈线的定时浮动窗内的量谱，根据其量值特征来识别故障所在线路。在研究电力系统各种暂态信号的基础上建立了配电网高阻故障仿真系统，通过PSCAD仿真平台利用高阻故障模型对配电网馈线进行高阻故障仿真分析。大量仿真分析表明，该方法能够有效提取故障的特征量，可对高阻故障进行在线识别。

High impedance fault is always difficult to be identified due to its unobvious fault signature and difficult detection. This paper decomposes the transient signal in multi-scale by utilizing the good localization performance of the wavelet in both time domain and frequency domain，reconstructs the wavelet coefficients under each scale，takes the wavelet reconstruction coefficient under the scale of 3，calculates the size spectrum of each feeder line in timing floating window and identifies the circuits in which the faults lined according to the value of the size spectrum. A high impedance fault simulation system is built based upon the study of the various transient signals in power systems，and the high impedance fault simulation analysis of the distribution feeder is undertaken through PSCAD simulation platform using high impedance fault model. Simulation analysis shows that the method can effectively extract the feature of high impedance fault on high impedance fault identification.

国家自然科学基金资助项目(51177177)