电力系统故障暂态信号的小波奇异性检测

Singularity detection of fault transient signals in power system with wavelet transform

小波变换理论在时域和频域的局部化性质 ,使之能有效地检测信号的奇异性。文章分析了电力系统故障暂态信号的奇异性 ,得出其奇异的特殊性 ,即具有不确定的奇异度 ,从而提出用小波变换进行奇异检测时对所用小波函数的要求 ,确保奇异性的准确检出 。

The singularity of fault transient signals in power system is analysed in this paper, and it shows that fault transient signals have the singularities and they can be detected by wavelet transforms.Going a step further,the paper points out that fault transient signals have the indeterminate positive integer singularity degree,and gives the existing probability of every positive integer singularity degree.According to the properties of fault transient signals,we determine the characterization of wavelets used for singularity detection of fault transient signals.Then,we propose the method to solve the fault moment detection problem of fault transient signals in power system.