小波变换在电能质量暂态信号检测中的应用

随着各种敏感电力电子设备在工业中的广泛应用 ,包括暂态扰动在内的电能质量问题已成为近年来各方面关注的焦点。对于暂态扰动发生时刻的检测与定位则是电能质量监测和统计中获取相关指标首要解决的问题。对基于连续小波变换的信号奇异性检测原理及其在电能质量暂态信号检测中的应用进行了详细的研究 ,通过基于标准偏差估计的小波消噪算法 ,有效排除了噪声干扰 ,实现了精确的故障时刻定位

Application of wavelet transform to detect power quality transient signal

With the wide application of sensitive power electronic devices in industry,the power quality disturbance problems such as transient become more concerned.The detection and location of the start point of the transient is a key problem for the power quality monitoring.The principle of singularity detection using continuous wavelet transform is presented in this paper and a dyadic wavelet transform approach for detection and location of the transient traveling waves is proposed.With the approach based on standard error estimate,noise was greatly decreased and the result was obviously improved.