奇异性检测理论及其在电力系统中的仿真应用研究

Wavelet Analysis for Singularity of Power System Transient Fault Signals

由于小波变换不仅具有良好的时频局部化特性 ,而且还可以根据信号频率的变化自动调节时频窗口 ,因此利用小波变换可以有效地检测出信号的奇异性特征。文章在分析电力系统暂态故障信号的奇异性和小波变换奇异性检测基本原理的基础上 ,得出电力系统暂态故障信号奇异性的特殊性 ,从而提出利用小波变换进行故障暂态信号奇异性检测的算法 。

Because the wavelet transform possesses the properties of multi scale analysis and the time frequency local characteristics, and it can regulate the window of time and frequency automatically, it is particularly well adapted to processing and detecting the singularity of signals and to extracting characteristic of these signals. This paper discusses the singularity of power system transient fault signals, and the basic principle of the singularity detection and then puts forward the characteristics of power system transient fault signals. Finally the study results are presented.