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dc.contributor.authorAsada, Eduardo N.-
dc.contributor.authorGarcia, Ariovaldo V.-
dc.contributor.authorRomero, R.-
dc.identifier.citation2005 IEEE Power Engineering Society General Meeting, v. 1, p. 571-577.-
dc.description.abstractThis paper presents an intelligent search strategy for the conforming bad data errors identification in the generalized power system state estimation, by using the tabu search meta heuristic. The main objective is to detect critical errors involving both analog and topology errors. These errors are represented by conforming errors, whose nature affects measurements that actually do not present bad data and also the conventional bad data identification strategies based on the normalized residual methods. ©2005 IEEE.en
dc.subjectData reduction-
dc.subjectHeuristic methods-
dc.subjectIdentification (control systems)-
dc.subjectStrategic planning-
dc.subjectData errors-
dc.subjectMeta heuristics-
dc.subjectPower system-
dc.subjectTopology errors-
dc.subjectElectric power systems-
dc.titleIdentifying multiple interacting bad data in power system state estimationen
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationSchool of Electrical and Computer Engineering UNICAMP-FEEC-DSEE, Campinas-
dc.description.affiliationSchool of Electrical Engineering UNESP-FEIS-DEE, Ilha Solteira-
dc.description.affiliationUnespSchool of Electrical Engineering UNESP-FEIS-DEE, Ilha Solteira-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartof2005 IEEE Power Engineering Society General Meeting-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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