{"title":"一种基于噪声空间分解的方法,利用同步相量测量识别低频振荡","authors":"P. Tripathy, S. Srivastava, S. Singh","doi":"10.1109/PES.2010.5588166","DOIUrl":null,"url":null,"abstract":"This paper proposes a method based on noise space decomposition (NSD) for the identification of low frequency oscillations in power systems. The proposed method uses a median filter to reduce the variance of the estimated modes. The signal utilized for estimating the modes is the power signal obtained from phasor measurement units (PMUs). The results with the proposed method has been compared with an improved Prony based method on a test signal at different noise levels. Estimation of modes has also been carried out on a 2-area system using the proposed method.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A noise space decomposition based method for identifying low frequency oscillations using synchro-phasor measurements\",\"authors\":\"P. Tripathy, S. Srivastava, S. Singh\",\"doi\":\"10.1109/PES.2010.5588166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a method based on noise space decomposition (NSD) for the identification of low frequency oscillations in power systems. The proposed method uses a median filter to reduce the variance of the estimated modes. The signal utilized for estimating the modes is the power signal obtained from phasor measurement units (PMUs). The results with the proposed method has been compared with an improved Prony based method on a test signal at different noise levels. Estimation of modes has also been carried out on a 2-area system using the proposed method.\",\"PeriodicalId\":177545,\"journal\":{\"name\":\"IEEE PES General Meeting\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE PES General Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PES.2010.5588166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE PES General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2010.5588166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A noise space decomposition based method for identifying low frequency oscillations using synchro-phasor measurements
This paper proposes a method based on noise space decomposition (NSD) for the identification of low frequency oscillations in power systems. The proposed method uses a median filter to reduce the variance of the estimated modes. The signal utilized for estimating the modes is the power signal obtained from phasor measurement units (PMUs). The results with the proposed method has been compared with an improved Prony based method on a test signal at different noise levels. Estimation of modes has also been carried out on a 2-area system using the proposed method.