Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria

Detalhes bibliográficos
Autor(a) principal: Müller, Heloisa Helena, 1965-
Data de Publicação: 2016
Outros Autores: Castro Junior, Carlos Alberto de, 1960-
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório da Produção Científica e Intelectual da Unicamp
Texto Completo: https://hdl.handle.net/20.500.12733/1651701
Resumo: The phasor measurement technology has made it possible the monitoring and control of wide-area power systems. In this study, a new genetic algorithm based method for optimal placement of phasor measurement units (PMUs) considering observability and security issues is proposed. The idea is to allocate the least number of PMUs while providing the most redundant set of measurements. This allocation philosophy ensures reliability in the state estimation process. Moreover, the allocation method also takes into account security issues, by preserving the system's observability in case of loss of PMUs. In particular, the loss of a single PMU [(n - 1) criterion] is considered. The proposed method was tested on IEEE standard test systems and the results are discussed and evaluated
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spelling Genetic algorithm-based phasor measurement unit placement method considering observability and security criteriaAlgoritmos genéticosGenetic algorithms.Phasor measurementPower system securityPower system controlEnergy management systemsObservabilityGenetic algorithm-based phasor measurement unit placement methodObservability criteriaSecurity criteriaWide-area power system monitoringWide-area power system controlPMUIEEE standard test systemsEnergy management systemsArtigo de pesquisaThe phasor measurement technology has made it possible the monitoring and control of wide-area power systems. In this study, a new genetic algorithm based method for optimal placement of phasor measurement units (PMUs) considering observability and security issues is proposed. The idea is to allocate the least number of PMUs while providing the most redundant set of measurements. This allocation philosophy ensures reliability in the state estimation process. Moreover, the allocation method also takes into account security issues, by preserving the system's observability in case of loss of PMUs. In particular, the loss of a single PMU [(n - 1) criterion] is considered. The proposed method was tested on IEEE standard test systems and the results are discussed and evaluatedAbertoUNIVERSIDADE ESTADUAL DE CAMPINASMüller, Heloisa Helena, 1965-Castro Junior, Carlos Alberto de, 1960-2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.12733/1651701MÜLLER, Heloisa Helena; CASTRO JUNIOR, Carlos Alberto de. Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria. IET generation, transmission and distribution. Stevenage : Wiley, 2016.. Vol. 10, no. 1 (Jan., 2016), p. 270-280. Disponível em: https://hdl.handle.net/20.500.12733/1651701. Acesso em: 7 mai. 2024.https://repositorio.unicamp.br/acervo/detalhe/1189666porreponame:Repositório da Produção Científica e Intelectual da Unicampinstname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPinfo:eu-repo/semantics/openAccess2023-10-10T12:59:35Zoai:https://www.repositorio.unicamp.br/:1189666Repositório InstitucionalPUBhttp://repositorio.unicamp.br/oai/requestreposip@unicamp.bropendoar:2023-10-10T12:59:35Repositório da Produção Científica e Intelectual da Unicamp - Universidade Estadual de Campinas (UNICAMP)false
dc.title.none.fl_str_mv Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria
title Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria
spellingShingle Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria
Müller, Heloisa Helena, 1965-
Algoritmos genéticos
Genetic algorithms.
Phasor measurement
Power system security
Power system control
Energy management systems
Observability
Genetic algorithm-based phasor measurement unit placement method
Observability criteria
Security criteria
Wide-area power system monitoring
Wide-area power system control
PMU
IEEE standard test systems
Energy management systems
Artigo de pesquisa
title_short Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria
title_full Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria
title_fullStr Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria
title_full_unstemmed Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria
title_sort Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria
author Müller, Heloisa Helena, 1965-
author_facet Müller, Heloisa Helena, 1965-
Castro Junior, Carlos Alberto de, 1960-
author_role author
author2 Castro Junior, Carlos Alberto de, 1960-
author2_role author
dc.contributor.none.fl_str_mv UNIVERSIDADE ESTADUAL DE CAMPINAS
dc.contributor.author.fl_str_mv Müller, Heloisa Helena, 1965-
Castro Junior, Carlos Alberto de, 1960-
dc.subject.por.fl_str_mv Algoritmos genéticos
Genetic algorithms.
Phasor measurement
Power system security
Power system control
Energy management systems
Observability
Genetic algorithm-based phasor measurement unit placement method
Observability criteria
Security criteria
Wide-area power system monitoring
Wide-area power system control
PMU
IEEE standard test systems
Energy management systems
Artigo de pesquisa
topic Algoritmos genéticos
Genetic algorithms.
Phasor measurement
Power system security
Power system control
Energy management systems
Observability
Genetic algorithm-based phasor measurement unit placement method
Observability criteria
Security criteria
Wide-area power system monitoring
Wide-area power system control
PMU
IEEE standard test systems
Energy management systems
Artigo de pesquisa
description The phasor measurement technology has made it possible the monitoring and control of wide-area power systems. In this study, a new genetic algorithm based method for optimal placement of phasor measurement units (PMUs) considering observability and security issues is proposed. The idea is to allocate the least number of PMUs while providing the most redundant set of measurements. This allocation philosophy ensures reliability in the state estimation process. Moreover, the allocation method also takes into account security issues, by preserving the system's observability in case of loss of PMUs. In particular, the loss of a single PMU [(n - 1) criterion] is considered. The proposed method was tested on IEEE standard test systems and the results are discussed and evaluated
publishDate 2016
dc.date.none.fl_str_mv 2016
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 https://hdl.handle.net/20.500.12733/1651701
MÜLLER, Heloisa Helena; CASTRO JUNIOR, Carlos Alberto de. Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria. IET generation, transmission and distribution. Stevenage : Wiley, 2016.. Vol. 10, no. 1 (Jan., 2016), p. 270-280. Disponível em: https://hdl.handle.net/20.500.12733/1651701. Acesso em: 7 mai. 2024.
url https://hdl.handle.net/20.500.12733/1651701
identifier_str_mv MÜLLER, Heloisa Helena; CASTRO JUNIOR, Carlos Alberto de. Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria. IET generation, transmission and distribution. Stevenage : Wiley, 2016.. Vol. 10, no. 1 (Jan., 2016), p. 270-280. Disponível em: https://hdl.handle.net/20.500.12733/1651701. Acesso em: 7 mai. 2024.
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://repositorio.unicamp.br/acervo/detalhe/1189666
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 da Produção Científica e Intelectual da Unicamp
instname:Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
instname_str Universidade Estadual de Campinas (UNICAMP)
instacron_str UNICAMP
institution UNICAMP
reponame_str Repositório da Produção Científica e Intelectual da Unicamp
collection Repositório da Produção Científica e Intelectual da Unicamp
repository.name.fl_str_mv Repositório da Produção Científica e Intelectual da Unicamp - Universidade Estadual de Campinas (UNICAMP)
repository.mail.fl_str_mv reposip@unicamp.br
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