摘要
电力系统中的信号通常是非平稳信号,传统傅里叶算法因其纯频域的特性,无法提供局部时间段上的频率信息,因而不适合电力系统信号的分析。基于离散小波的mallet算法则由于存在频带划分不够精确和能量泄露的问题,对于谐波的分析精度也会产生影响。本文提出了基于morlet复小波的连续小波变换算法在电力系统基波与各次谐波信号幅值计算中的应用,该算法既保留了良好的时—频特性,同时也避免了mallet算法中的问题。
The signal in power system is always unstable. Traditional Fourier Transform can not provide the frequency information in a special time segment, because of its global frequency. So it is unsuitable to analyze the transient signal. In mallet algorithm of discrete wavelet, the problems is unavoidable, that are inaccurate frequency bands and energy leakage. It will affect the precision of harmonic analysis. So this paper presents a computational algorithm for identifying harmonic amplitude in power system, by using continuous wavelet transform based on morlet analytic wavelet. This algorithm preserves the well time-frequency characteristic, and avoid the problem in mallet algorithm.
出处
《微计算机信息》
2009年第22期212-213,207,共3页
Control & Automation
关键词
morlet复小波
连续小波变换
谐波分析
幅值检测
complex morlet wavelet
continuous wavelet transform
harmonic measurement
amplitude detection
