基于形态学的暂态电能质量扰动检测  

Detection of transient power quality disturbance based on morphology

作　　者：邢峰华 张艳[1] 马毅[1] 梁桂宁 

机构地区：[1]辽宁工业大学电气工程学院,辽宁锦州121001 [2]威海市建筑设计院有限公司,山东威海264200

出　　处：《电测与仪表》2015年第17期68-72,共5页Electrical Measurement & Instrumentation

基　　金：辽宁省教育厅科学技术研究项目(L2012229)

摘　　要：针对扰动检测过程中存在的脉冲噪声和白噪声影响暂态电能质量信息准确提取的问题,文章设计了一种基于LMS的多结构复合形态滤波算法,该算法具有在保留信号的有效成分的基础上最大限度地滤除噪声的功能。文章使用电压暂降、电压暂升、电压中断等对所提方法进行了仿真实验。仿真结果表明,基于LMS的多结构复合滤波算法得到的信噪比是多结构自适应复合滤波算法的1.01倍左右,是小波变换的1.1倍左右,即该算法能有效地滤除暂态电能质量扰动分析中的随机噪声和脉冲噪声;而且,该算法可较好地保持扰动信号的形状和特征。Aiming to the problem that pulse noise and white noise have an influence on accurate extraction of transient power quality information, so an effective filter algorithm is proposed to filter out noise to great extend on the basis of keeping effective components of signal. This algorithm is based on multiple structure dements composite filtering of morphology LMS. This paper utilizes voltage sag, voltage surge and voltage interrupt and so on to carry out simulation experiment. The simulation results show that the SNR which the algorithm based on multiple structure elements composite filtering of morphology LMS gains is about 1. 01 times than that of multiple structure elements self-adaptive and composite algorithm and about 1.1 times than that of wavelet transform. In other words, this algorithm not only effectively filters out noise of transient power quality signals, but also remains characters and shape of disturbance signals.

关 键 词：暂态电能质量 数学形态学 LMS 滤波 

分 类 号：TM930[电气工程—电力电子与电力传动]