基于小波包算法的电力系统故障信号处理

提出应用小波包算法来提取电力系统暂态故障信号的基频分量。正交小波包分析能够将信号的频带分割得更精细，对频带进行多层次划分。本文提出电力系统故障信号的小波包分析方法，就是对电力系统故障信号进行细分，以便更精确地提取基频信号。并且将小波包算法与传统的傅立叶算法进行了比较。如果将小波包算法应用于数字保护，则对于提高电力系统的数字保护的准确性很有帮助。

Power System Fault Signal Processing Based on Wavelet Packet Algorithm

In this paper, the fundamental frequency component signal can be extracted from the transient fault signal of electric power system by using wavelet packet algorithm. The orthogonal wavelet packet analysis can divide the frequency band of the signal accurately, and it can make multi-layer division for the frequency band of the fault signal. The wavelet packet analysis method presents in this paper is to divide the frequency band of the power system fault signal and extract the fundamental frequency component from the power system fault signal more accurately than other algorithms. The method of wavelet packet is also made comparison with traditional Fourier algorithm. If the wavelet packet algorithm can be applied to digital protection, it may be helpful to improve the accuracy of the power system digital protection.