{"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}
引用次数: 4
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.