Towards an Auto-Associative Topology State Estimator

Detalhes bibliográficos
Autor(a) principal: Krstulovic,J
Data de Publicação: 2013
Outros Autores: Vladimiro Miranda, Simoes Costa,AJAS, Jorge Correia Pereira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/6115
http://dx.doi.org/10.1109/tpwrs.2012.2236656
Resumo: This paper presents a model for breaker status identification and power system topology estimation based on a mosaic of local auto-associative neural networks. The approach extracts information from values of the analog electric variables and allows the recovery of missing sensor signals or the correction of erroneous data about breaker status. The results are confirmed by extensive tests conducted on an IEEE benchmark network.
id RCAP_29bf61f2666a6346df1ba7641dd8a193
oai_identifier_str oai:repositorio.inesctec.pt:123456789/6115
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Towards an Auto-Associative Topology State EstimatorThis paper presents a model for breaker status identification and power system topology estimation based on a mosaic of local auto-associative neural networks. The approach extracts information from values of the analog electric variables and allows the recovery of missing sensor signals or the correction of erroneous data about breaker status. The results are confirmed by extensive tests conducted on an IEEE benchmark network.2018-01-15T11:29:11Z2013-01-01T00:00:00Z2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/6115http://dx.doi.org/10.1109/tpwrs.2012.2236656engKrstulovic,JVladimiro MirandaSimoes Costa,AJASJorge Correia Pereirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:20:56Zoai:repositorio.inesctec.pt:123456789/6115Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:53:49.550112Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Towards an Auto-Associative Topology State Estimator
title Towards an Auto-Associative Topology State Estimator
spellingShingle Towards an Auto-Associative Topology State Estimator
Krstulovic,J
title_short Towards an Auto-Associative Topology State Estimator
title_full Towards an Auto-Associative Topology State Estimator
title_fullStr Towards an Auto-Associative Topology State Estimator
title_full_unstemmed Towards an Auto-Associative Topology State Estimator
title_sort Towards an Auto-Associative Topology State Estimator
author Krstulovic,J
author_facet Krstulovic,J
Vladimiro Miranda
Simoes Costa,AJAS
Jorge Correia Pereira
author_role author
author2 Vladimiro Miranda
Simoes Costa,AJAS
Jorge Correia Pereira
author2_role author
author
author
dc.contributor.author.fl_str_mv Krstulovic,J
Vladimiro Miranda
Simoes Costa,AJAS
Jorge Correia Pereira
description This paper presents a model for breaker status identification and power system topology estimation based on a mosaic of local auto-associative neural networks. The approach extracts information from values of the analog electric variables and allows the recovery of missing sensor signals or the correction of erroneous data about breaker status. The results are confirmed by extensive tests conducted on an IEEE benchmark network.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01T00:00:00Z
2013
2018-01-15T11:29:11Z
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://repositorio.inesctec.pt/handle/123456789/6115
http://dx.doi.org/10.1109/tpwrs.2012.2236656
url http://repositorio.inesctec.pt/handle/123456789/6115
http://dx.doi.org/10.1109/tpwrs.2012.2236656
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799131611921383424