{"title":"Research on power system fault diagnosis considering relay protection condition assessment","authors":"Z. Dongmei, Wang Jian, Zhang Xu, Liang Weichen","doi":"10.1109/APPEEC.2015.7381036","DOIUrl":null,"url":null,"abstract":"Targeting at diagnosing complex power system faults, a power system fault diagnosis method considering relay protection condition assessment is proposed. With relay protection condition assessment, the power system fault diagnosis model is created, based on which, the objective function considering relay protection failure is proposed, and its protection action term is modified based on the condition assessment results of protection devices. The optimal fault hypothesis is obtained using genetic algorithm with variable length chromosome, thereby fulfilling power system fault diagnosis. The availability of this method is further validated via a case of a substation.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APPEEC.2015.7381036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Targeting at diagnosing complex power system faults, a power system fault diagnosis method considering relay protection condition assessment is proposed. With relay protection condition assessment, the power system fault diagnosis model is created, based on which, the objective function considering relay protection failure is proposed, and its protection action term is modified based on the condition assessment results of protection devices. The optimal fault hypothesis is obtained using genetic algorithm with variable length chromosome, thereby fulfilling power system fault diagnosis. The availability of this method is further validated via a case of a substation.