基于广义尺度小波熵的电网传输电能质量扰动信号分析

Disturbance Signal Analysis Based on Wavelet Entropy Generalized Scale Transmission Network Power Quality

提出了一种基于广义小波熵算法进行电网传输电能质量扰动信号分析和识别的算法。计算多个尺度下不同电能质量扰动信号的小波熵数值分布特点,给出了广义小波熵应用于电能质量分析的尺度选择特点以及分布规律,并结合支持向量机进行了不同电能质量扰动信号的识别与分类,达到了96%以上的分类正确率。

A novel method for identifying and recognizing the common power quality disturbance signals based on the general wavelet entropy is presented in this paper. The wavelet entropy of different power quality disturbance signals in a series of scales is calculated,and the general wavelet entropy distribution characteristics of different power quality disturbance signals and important scale selection of sample entropy algo-rithm are given. Finally,a support vector machine is applied for different power quality disturbance signals recognition and the result shows that the average classification accuracy is above 96%.