T. Gouraud, F. Auger, M. Guglielmi, M. Machmoum, S. Siala, M. Benkhoris
{"title":"电力系统谐波测量的最大似然法","authors":"T. Gouraud, F. Auger, M. Guglielmi, M. Machmoum, S. Siala, M. Benkhoris","doi":"10.1109/CIPE.1994.396709","DOIUrl":null,"url":null,"abstract":"Estimating the amplitudes and phases of the harmonic components of one or three-phase currents (and voltages) is required for efficient active power filtering. In this paper, we propose a new approach based on the maximum likelihood principle. This estimation is unbiased and reaches the lowest statistical variance. Moreover, its computational burden is shown to be weaker than for any other method. Two algorithms are also derived to track slowly-varying nonstationary harmonic signals.<<ETX>>","PeriodicalId":123138,"journal":{"name":"Proceedings of 1994 IEEE Workshop on Computers in Power Electronics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A maximum likelihood approach to harmonics measurements in power systems\",\"authors\":\"T. Gouraud, F. Auger, M. Guglielmi, M. Machmoum, S. Siala, M. Benkhoris\",\"doi\":\"10.1109/CIPE.1994.396709\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Estimating the amplitudes and phases of the harmonic components of one or three-phase currents (and voltages) is required for efficient active power filtering. In this paper, we propose a new approach based on the maximum likelihood principle. This estimation is unbiased and reaches the lowest statistical variance. Moreover, its computational burden is shown to be weaker than for any other method. Two algorithms are also derived to track slowly-varying nonstationary harmonic signals.<<ETX>>\",\"PeriodicalId\":123138,\"journal\":{\"name\":\"Proceedings of 1994 IEEE Workshop on Computers in Power Electronics\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE Workshop on Computers in Power Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIPE.1994.396709\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE Workshop on Computers in Power Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIPE.1994.396709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A maximum likelihood approach to harmonics measurements in power systems
Estimating the amplitudes and phases of the harmonic components of one or three-phase currents (and voltages) is required for efficient active power filtering. In this paper, we propose a new approach based on the maximum likelihood principle. This estimation is unbiased and reaches the lowest statistical variance. Moreover, its computational burden is shown to be weaker than for any other method. Two algorithms are also derived to track slowly-varying nonstationary harmonic signals.<>
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
