基于小波分析的地下电缆故障定位仿真研究

针对电力电缆行波法故障测距中脉冲信号识别难度大的问题,文中提出了将小波分析理论应用于电力电缆的行波信号识别的方法。该方法利用PSCAD/EMTDC软件建立精确的仿真模型,借助于MATLAB中的Daubechies小波对仿真波形进行5层小波分解。仿真结果表明,利用小波分析对故障信号进行全频段范围的分析处理能够显著提高电缆的故障测距精度,在一定距离范围内,其相对误差可以有效控制在0.5%以下。

Simulation Research on Fault Location of Underground Cable Based on Wavelet Analysis

Aiming at the difficulty of pulse signal recognition in power cable traveling wave fault location, the method of wavelet analysis was applied to the identification of traveling wave signals in power cables was proposed. PSCAD/EMTDC software was used to build an accurate simulation model, and the Daubechies wavelet in MATLAB was utilized to perform 5-layer wavelet decomposition on the simulated waveform. The simulation results showed that the wavelet analysis could be used to analyze the fault signal with full frequency range, which significantly improved the fault location accuracy of the cable. In a certain distance range, the relative error could be effectively controlled below 0.5%.