采用小波多分辨率信号分解的电能质量检测

针对典型的电能质量扰动信号 ,提出了采用小波多分辨率信号分解的电能质量检测与时频分析方法 ,并提出一种新型的同步检波器。该方法将电能质量扰动信号分解到子频带中 ,在小波域上检测信号的时间、频率和幅度 ,具有突出信号时域、频域局部特征的能力 ,因此特别适用于短暂瞬时信号的检测与分析。仿真结果表明 ,该方法具有优异的检测性能 ,适用于电压凹陷、电压凸起、电压间断、短时间谐波失真、暂态谐波失真、电压闪变与波动等电能质量扰动信号的检测与时频分析。

Power Quality Detection Using Wavelet-Multiresolution Signal Decomposition

This paper proposes a novel method of power quality detection and analysis using wavelet multiresolution signal decomposition and a novel synchronous detector using wavelet filter instead of traditional low pass filter.In the proposed method,the distorted signal data were cut up into different frequency subbands,and then we can detect time,frequencies and amplitudes of the distorted signals in the wavelet domain.Because of having outstanding time frequency localization characteristics,this method can be used in transient distorted signal detection and analysis.The results of simulation show that this method has good detection performance,and it can detect different power quality problems efficiently,such as voltage sag and swell,momentary interrupt,harmonic distortion of short duration,transient harmonic destortion and voltage flickers.