基于dq变换与小波变换的电能质量扰动检测与识别方法  

Power quality disturbance detection and identification based on dq conversion and wavelet transform

作　　者：张秀娟[1] 徐永海[1] 肖湘宁[1] 

机构地区：[1]华北电力大学电力工程学院,北京102206

出　　处：《电力自动化设备》2005年第7期1-5,共5页Electric Power Automation Equipment

基　　金：教育部博士点专项科研基金资助项目(20010079002)

摘　　要：提出了一种基于dq变换和小波变换相结合的电能质量扰动检测与识别方法,该方法利用dq变换有效值的特征和小波变换对突变信号的敏感性,能对电压暂降、暂升等10种电能质量扰动进行检测与识别,具有较高的识别正确率,并能计算出各种扰动的特征参量。同时,还对部分多种扰动同时发生的情况进行了初步探讨和仿真研究,并取得了较好的检测识别效果。A method combining d q conversion and wavelet transform to detect and identify power quality disturbances is proposed,which makes use of the characteristics of d q conversion’s virtual value and the sensitivity of wavelet transform to sudden,change singals. It can identify ten kinds of power quality disturbances with high correctness ratio,such as voltage sag and rise,and calculate the eigenvalues of each disturbance. Some concurrent disturbances are discussed and simulated and the results show that the detection and identification are effective.

关 键 词：dq变换 小波变换 电能质量 检测与识别 

分 类 号：TM761[电气工程—电力系统及自动化]