Genetic algorithm-based phasor measurement unit placement method considering observability and security criteria
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | |
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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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 |
_version_ |
1799030821442551808 |