基于样本熵的电网传输电能质量扰动信号分析

Analysis of the Power Quantity Disturbance Signal in the Transmission Grid Based on the Sample Entropy Method

基于样本熵分析了智能电网中常见的电能质量扰动信号。从电能质量扰动信号引起电能信号信息量变化的角度出发,提出了采用样本熵计算不同电能质量扰动信号的数值特征,并结合线性分类器识别相应电能质量扰动信号的算法。给出了样本熵算法应用于识别电网扰动信号分析时适用的参数选择区间,使得算法分类正确率达到了90%。

In this paper,the common power quality disturbance signal in the smart transmission grid is analyzed based on the sample entropy. As the power quality disturbance signal causes changes of the information amount of power quality,this paper proposes numerical characteristics by which different power quality disturbance signals can be calculated by the sample entropy,and recognizes the algorithm of the corres-ponding disturbance signal using a linear classifier. In addition,the paper gives the range of parameter selection for the recog-nition and analysis of the power quality disturbance signal in the transmission grid by the sample entropy method so that the average classification accuracy can reach 90%.