{"title":"基于正交小波包变换的电能质量扰动检测与定位","authors":"Liyan Liu, Zhezhao Zeng","doi":"10.1109/DRPT.2008.4523704","DOIUrl":null,"url":null,"abstract":"A novel method of power quality detection and location using orthogonal wavelet packet transform was proposed. First the theories of orthogonal wavelet packet transform and wavelet basis function choice were discussed; second power quality disturbances with white Gaussian noise in power frequency were simulated; then, a soft-threshold method based on the concept of universal threshold and Stein unbiased risk threshold was given for solving the problem of de-noising in actual signal detection; finally power quality disturbances were detected and localized using orthogonal wavelet packet transform. The results show that the method proposed has a better detection performance; it has more accurate detection and location of the occurrence time and duration of transient. The method is suitable for detection of the transient and processing other non-time- varying signal.","PeriodicalId":240420,"journal":{"name":"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies","volume":"455 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"The detection and location of power quality disturbances based on orthogonal wavelet packet transform\",\"authors\":\"Liyan Liu, Zhezhao Zeng\",\"doi\":\"10.1109/DRPT.2008.4523704\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel method of power quality detection and location using orthogonal wavelet packet transform was proposed. First the theories of orthogonal wavelet packet transform and wavelet basis function choice were discussed; second power quality disturbances with white Gaussian noise in power frequency were simulated; then, a soft-threshold method based on the concept of universal threshold and Stein unbiased risk threshold was given for solving the problem of de-noising in actual signal detection; finally power quality disturbances were detected and localized using orthogonal wavelet packet transform. The results show that the method proposed has a better detection performance; it has more accurate detection and location of the occurrence time and duration of transient. The method is suitable for detection of the transient and processing other non-time- varying signal.\",\"PeriodicalId\":240420,\"journal\":{\"name\":\"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies\",\"volume\":\"455 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DRPT.2008.4523704\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DRPT.2008.4523704","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The detection and location of power quality disturbances based on orthogonal wavelet packet transform
A novel method of power quality detection and location using orthogonal wavelet packet transform was proposed. First the theories of orthogonal wavelet packet transform and wavelet basis function choice were discussed; second power quality disturbances with white Gaussian noise in power frequency were simulated; then, a soft-threshold method based on the concept of universal threshold and Stein unbiased risk threshold was given for solving the problem of de-noising in actual signal detection; finally power quality disturbances were detected and localized using orthogonal wavelet packet transform. The results show that the method proposed has a better detection performance; it has more accurate detection and location of the occurrence time and duration of transient. The method is suitable for detection of the transient and processing other non-time- varying signal.