一种电能质量扰动信号的分层识别新方法  

A New Hieratic Power Quality Disturbance Signal Identification Method

作　　者：王丽霞[1] 何正友[1] 戴铭[1] 赵静[1] 钱清泉[1] 

机构地区：[1]西南交通大学电气工程学院,四川省成都市610031

出　　处：《电力系统自动化》2009年第24期65-69,共5页Automation of Electric Power Systems

基　　金：国家自然科学资助基金资助项目(50877068);教育部优秀新世纪人才支持计划资助项目(NECT-06-0799);四川省杰出青年基金资助项目(06ZQ026-012)~~

摘　　要：为了快速准确地对电能质量扰动进行分类和识别,结合时域和频域分析方法,提出了一种新的电能质量分层分类识别新方法。该方法由基波和扰动分离模块、扰动时间特征提取分类模块等多个功能模块构成,通过将dq变换、广义形态滤波、傅里叶变换等计算简单的信号分析方法相结合,逐层提取出幅值、扰动时间、扰动频域奇异熵等特征并对其进行分类,最后依据各层分类结果对信号的扰动类型进行综合识别。对7种常见的单一电能质量扰动及部分混合电能质量扰动仿真分析表明,所提出的方法有较好的分类识别效果。A new method combining the advantages of time domain and frequency domain analysis methods is proposed for improving the speed and accuracy of PQ disturbances identification. The method consists of seven function modules. By use of d-q transform, generalized morphological filter, Fourier transform and other simple signal processing methods, the amplitude, disturbance time, disturbance frequency domain singular entropy and other features of disturbances are identified and classified tayer-byqayer, then a comprehensive judgment is made by classification results of every layer. Simulation results of seven common kinds of single disturbances and some mixed disturbances indicate that the method is effective.

关 键 词：电能质量 扰动信号 分类识别 分层 

分 类 号：TM935[电气工程—电力电子与电力传动]