摘要
小波变换((WT)具有良好的时频局部化特性,可以同时提取信号的时频特性,是分析电能质量问题的有力工具[1]。采用连续小波变换(CWT)算法,选用具有良好频域特性的Morlet复值小波对电能扰动信号进行处理,并通过数字信号处理器(DSP)进行验证。测试结果表明,该算法对给定的采样数据,能够准确地得到扰动信号中的各种特征参数,从而为电能扰动的精确检测提供了有效的手段。
Wavelet Transform（WT） possesses good time-frequency domain characteristics and is able to collect the time-frequency parameters of signals simultaneously,it is a powerful tool for power quality analysis.The analyzing method used in this paper is by continuous wavelet transformation and the complex Morlet wavelet with good frequency domain characteristics is chosen as base wavelet to process power disturbance signals,and the validation is through digital signal processor（DSP）.The results show that from given sample data the algorithm can collect the various characteristic parameters of the disturbance signals precisely.Thus it proves that it is an effective means for accurate detection of power disturbance.
出处
《华中电力》
2011年第1期14-17,22,共5页
Central China Electric Power
