基于改进递归小波的短期电能质量检测和分类

Detection and classification of short-term power quality based on improved recursive wavelet transform

应用改进递归复小波变换来确定短时扰动的发生时间和持续时间,应用熵值法确定分解尺度,并用以基频为中心频率的单尺度小波变换能量分布曲线来进行扰动分类。该算法计算简单快速,仿真结果表明该方法是有效的。

Theimproved recursivewavelet transform is used todetecttheshort-term disturbance. Entropyisapplied to find the proper wavelet scale parameter. The wavelet transform energy distribution curve is applied for classification of short-term power qualities. The algorithm is simple and quick. Simulation results show its effectiveness.