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

Detalhes bibliográficos
Autor(a) principal: Bretas, Newton G.
Data de Publicação: 2013
Outros Autores: Piereti, Saulo A., Bretas, Arturo S., Martins, Andre C. P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TPWRS.2012.2234768
http://hdl.handle.net/11449/231301
Resumo: In 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.
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spelling A geometrical view for multiple gross errors detection, identification, and correction in power system state estimationComposing errorsgross errors analysisorthogonal projectionsrecovering errorsstate estimationIn 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.Department of Electrical Engineering E.E.S.C. University of São Paulo, São CarlosDepartment of Electrical Engineering Instituto Federal de Tecnologia Do Mato GrossoDepartment of Electrical Engineering Federal University, Rio Grande do SulDepartment of Electrical Engineering FEB University of State of São Paulo, São PauloUniversidade de São Paulo (USP)Instituto Federal de Tecnologia Do Mato GrossoFederal UniversityUniversity of State of São PauloBretas, Newton G.Piereti, Saulo A.Bretas, Arturo S.Martins, Andre C. P.2022-04-29T08:44:42Z2022-04-29T08:44:42Z2013-01-30info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2128-2135http://dx.doi.org/10.1109/TPWRS.2012.2234768IEEE Transactions on Power Systems, v. 28, n. 3, p. 2128-2135, 2013.0885-8950http://hdl.handle.net/11449/23130110.1109/TPWRS.2012.22347682-s2.0-84880921806Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Transactions on Power Systemsinfo:eu-repo/semantics/openAccess2022-04-29T08:44:42Zoai:repositorio.unesp.br:11449/231301Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-29T08:44:42Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A geometrical view for multiple gross errors detection, identification, and correction in power system state estimation
title A geometrical view for multiple gross errors detection, identification, and correction in power system state estimation
spellingShingle A geometrical view for multiple gross errors detection, identification, and correction in power system state estimation
Bretas, Newton G.
Composing errors
gross errors analysis
orthogonal projections
recovering errors
state estimation
title_short A geometrical view for multiple gross errors detection, identification, and correction in power system state estimation
title_full A geometrical view for multiple gross errors detection, identification, and correction in power system state estimation
title_fullStr A geometrical view for multiple gross errors detection, identification, and correction in power system state estimation
title_full_unstemmed A geometrical view for multiple gross errors detection, identification, and correction in power system state estimation
title_sort A geometrical view for multiple gross errors detection, identification, and correction in power system state estimation
author Bretas, Newton G.
author_facet Bretas, Newton G.
Piereti, Saulo A.
Bretas, Arturo S.
Martins, Andre C. P.
author_role author
author2 Piereti, Saulo A.
Bretas, Arturo S.
Martins, Andre C. P.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Instituto Federal de Tecnologia Do Mato Grosso
Federal University
University of State of São Paulo
dc.contributor.author.fl_str_mv Bretas, Newton G.
Piereti, Saulo A.
Bretas, Arturo S.
Martins, Andre C. P.
dc.subject.por.fl_str_mv Composing errors
gross errors analysis
orthogonal projections
recovering errors
state estimation
topic Composing errors
gross errors analysis
orthogonal projections
recovering errors
state estimation
description In 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.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-30
2022-04-29T08:44:42Z
2022-04-29T08:44:42Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/TPWRS.2012.2234768
IEEE Transactions on Power Systems, v. 28, n. 3, p. 2128-2135, 2013.
0885-8950
http://hdl.handle.net/11449/231301
10.1109/TPWRS.2012.2234768
2-s2.0-84880921806
url http://dx.doi.org/10.1109/TPWRS.2012.2234768
http://hdl.handle.net/11449/231301
identifier_str_mv IEEE Transactions on Power Systems, v. 28, n. 3, p. 2128-2135, 2013.
0885-8950
10.1109/TPWRS.2012.2234768
2-s2.0-84880921806
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE Transactions on Power Systems
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 2128-2135
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799964581668323328

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