A geometrical view for multiple gross errors detection, identification, and correction in power system state estimation

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorInstituto Federal de Tecnologia Do Mato Grosso-
Autor(es): dc.contributorFederal University-
Autor(es): dc.contributorUniversity of State of São Paulo-
Autor(es): dc.creatorBretas, Newton G.-
Autor(es): dc.creatorPiereti, Saulo A.-
Autor(es): dc.creatorBretas, Arturo S.-
Autor(es): dc.creatorMartins, Andre C. P.-
Data de aceite: dc.date.accessioned2025-08-21T16:15:54Z-
Data de disponibilização: dc.date.available2025-08-21T16:15:54Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2013-01-30-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TPWRS.2012.2234768-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/231301-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/231301-
Descrição: dc.descriptionIn this paper a geometrical approach is described to detect, identify, and recover multiple gross errors in power system state estimation. Using the classical WLS estimator, the measurement residuals is computed, and then the error is composed. For the detection and identification of the measurements with gross errors, the composed measurement error in the normalized form (CME N) is used. The measurement magnitude corrections otherwise are performed using the composed normalized measurement error (CNE). To give support to the detection and identification of the measurements containing gross errors, a generalization of the classical largest normalized residual test is provided. © 1969-2012 IEEE.-
Descrição: dc.descriptionDepartment of Electrical Engineering E.E.S.C. University of São Paulo, São Carlos-
Descrição: dc.descriptionDepartment of Electrical Engineering Instituto Federal de Tecnologia Do Mato Grosso-
Descrição: dc.descriptionDepartment of Electrical Engineering Federal University, Rio Grande do Sul-
Descrição: dc.descriptionDepartment of Electrical Engineering FEB University of State of São Paulo, São Paulo-
Formato: dc.format2128-2135-
Idioma: dc.languageen-
Relação: dc.relationIEEE Transactions on Power Systems-
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Palavras-chave: dc.subjectComposing errors-
Palavras-chave: dc.subjectgross errors analysis-
Palavras-chave: dc.subjectorthogonal projections-
Palavras-chave: dc.subjectrecovering errors-
Palavras-chave: dc.subjectstate estimation-
Título: dc.titleA geometrical view for multiple gross errors detection, identification, and correction in power system state estimation-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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