基于小波变换的抗噪声电压暂降检测方法研究  

The Study of Voltage Sag Detection Method with Anti-noise Feature Based on Wavelet Transform

作　　者：许丹[1] 黄利军[1] 李献伟[1] 王毅[1] 李博 

机构地区：[1]许继集团有限公司,河南许昌461000

出　　处：《供用电》2018年第2期57-62,共6页Distribution & Utilization

基　　金：国家电网公司科技项目"含高渗透率分布式电源的配电网多重电能质量综合分析与控制"(16ZGQ03823)~~

摘　　要：小波分析方法能够有效识别电压暂降起止时刻,针对目前电压暂降检测时由于噪声干扰存在引起的检测性能下降甚至失效问题,文章研究了暂降信号和噪声在小波变换各尺度的传播特性,提出了一种抗噪声电压暂降检测方法,通过提取最高频分量和次高频分量的能量因子,检测乘积数据集中的模极大值点以确定电压暂降的起止时间。仿真结果表明,该方法能够抑制噪声影响,提高电压暂降时刻检测的准确性。Wavelet analysis method works well for occurrence and recovery time detection of voltage sag. In view of the performance degradation problem caused by the noise interference when detecting the signal with voltage sag, a detection method with anti-noise feature is proposed by studying the propagation characteristic of the sag and noise respectively. The method extracts the energy factor from the wavelet coefficient in the high frequency and sub-high frequency sector, and then identifies the occurrence and recovery time of the voltage sag by detecting the product of the former two coefficients. The simulation result shows that the proposed method suppresses the noise affection and improves the accuracy of detection voltage sag time.

关 键 词：电能质量 电压暂降 小波变换 模极大值 抗噪声 

分 类 号：TM71[电气工程—电力系统及自动化]