{"title":"校正电网参数","authors":"M. Filho, J. de Souza, E. M. Meza","doi":"10.1109/PES.2009.5275400","DOIUrl":null,"url":null,"abstract":"This paper proposes efficient methods for correcting suspicious power system network parameters. State estimation is used for tackling the parameter estimation problem. The proposed methods explore the concept of irrelevant/barely relevant branches to eliminate/mitigate temporarily the participation of suspicious parameters in the state estimation process, until the suspicions are cleared up. Different situations, e.g. the occurrence of single/multiple parameter errors under unavailability of measurements, are handled. The methods distinguish themselves by the construction of a parameter estimation algorithm which does not modify an existing state estimation process, but interacts with it. Results with the IEEE-14 bus system, benchmark network for state estimation studies, and with a real power system are presented to illustrate the application of the proposed methods.","PeriodicalId":258632,"journal":{"name":"2009 IEEE Power & Energy Society General Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Correcting electrical network parameters\",\"authors\":\"M. Filho, J. de Souza, E. M. Meza\",\"doi\":\"10.1109/PES.2009.5275400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes efficient methods for correcting suspicious power system network parameters. State estimation is used for tackling the parameter estimation problem. The proposed methods explore the concept of irrelevant/barely relevant branches to eliminate/mitigate temporarily the participation of suspicious parameters in the state estimation process, until the suspicions are cleared up. Different situations, e.g. the occurrence of single/multiple parameter errors under unavailability of measurements, are handled. The methods distinguish themselves by the construction of a parameter estimation algorithm which does not modify an existing state estimation process, but interacts with it. Results with the IEEE-14 bus system, benchmark network for state estimation studies, and with a real power system are presented to illustrate the application of the proposed methods.\",\"PeriodicalId\":258632,\"journal\":{\"name\":\"2009 IEEE Power & Energy Society General Meeting\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Power & Energy Society General Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PES.2009.5275400\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Power & Energy Society General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2009.5275400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes efficient methods for correcting suspicious power system network parameters. State estimation is used for tackling the parameter estimation problem. The proposed methods explore the concept of irrelevant/barely relevant branches to eliminate/mitigate temporarily the participation of suspicious parameters in the state estimation process, until the suspicions are cleared up. Different situations, e.g. the occurrence of single/multiple parameter errors under unavailability of measurements, are handled. The methods distinguish themselves by the construction of a parameter estimation algorithm which does not modify an existing state estimation process, but interacts with it. Results with the IEEE-14 bus system, benchmark network for state estimation studies, and with a real power system are presented to illustrate the application of the proposed methods.