基于小波包理论实现电力系统高次谐波检测新方法

New Detection Method for Power System High Harmonics Based on the Theory of Wavelet Packet

电网谐波的检测问题一直是电力系统存在一个急待解决却没有形成规范化的方法。本文创造性提出一种用小波能量谱的方法对高次谐波的进行有效识别,并做了仿真实验和可行性分析。实验结果表明,小波包功率谱对于电力系统高次谐波的识别是一种行之有效,而且可以精确地得到用傅里叶变换没法解决的信号的暂态分量的提取,谐波开始的时间、幅值、突变信号开始的时间,具有很好的效果。

The grid harmonic detection has been problem for power system, and there is a need to be solved but it＇s not formed a standardized method. In this paper, it＇s creatively proposed a method with using wavelet energy spectrum for the high harmonics effectively identification, and it has simulation and feasibility analysis. The results show that the power spectrum of the wavelet packet for the identification of high harmonics of the power system is an effective. And it can be accurately extracted the transient component of the signal, he harmonics＇ beginning time, amplitude, mutation signals＇ beginning of time, while it can not be solved by Fourier Transform that is effective.