电能质量暂态扰动的Coiflet小波检测方法及其实现

The Realization of Transient Power Quality Disturbance Detection Based on Coiflet Wavelet

针对准确、实时定位电能质量暂态扰动源的问题,通过一种基于FPGA的Coiflet小波算法实现对电能质量暂态扰动的实时性检测.采用数字滤波器实现小波算法的方式,在Simulink/DSP Builder环境下设计了以Coiflet小波为基函数,搭建出高通和低通数字滤波器模块.对暂态电能质量中几种扰动信号源进行的仿真实验,并且给出了信号暂态扰动的起始和终止时刻.该方法对扰动源的检测延迟在ns级,结果表明该方法能提高暂态电能质量检测的准确性与实时性,并且具有可行性.

In view of the problem of accurate and real-time positioning transient power quality disturbance source. The real-time detection of power quality transient disturbance is realized by Coiflet wavelet algorithm based on FPGA. By adopting digital-filter-based wavelet algorithm design method,the high-pass and low-pass digital filter module is constructed based on Coiflet wavelet in the environment of Simulink / DSP Builder. By simulating test of several kinds of signal source,the begin-end time of signal transient disturbance is given. The delay of this method of disturbance source detection is at nanosecond level,which shows that the method is more accurate and feasible on real-time detection of power quality transient disturbance.