Reliability evaluation of distribution systems considering automatic reclosers

Detalhes bibliográficos
Autor(a) principal: Leite Da Silva, Armando M.
Data de Publicação: 2004
Outros Autores: Cassula, Agnelo M. [UNESP], Resende, Leonidas C., Almeida, Ronaldo M., Yamasaki, Mario T., Paula, Gustavo M. F.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1378670
http://hdl.handle.net/11449/68008
Resumo: This paper presents a new methodology to evaluate in a predictive way the reliability of distribution systems, considering the impact of automatic recloser switches. The developed algorithm is based on state enumeration techniques with Markovian models and on the minimal cut set theory. Some computational aspects related with the implementation of the proposed algorithm in typical distribution networks are also discussed. The description of the proposed approach is carried out using a sample test system. The results obtained with a typical configuration of a Brazilian system (EDP Bandeirante Energia S.A.) are presented and discussed.
id UNSP_3e0ed8ec1de057a179ee676727761e45
oai_identifier_str oai:repositorio.unesp.br:11449/68008
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Reliability evaluation of distribution systems considering automatic reclosersAutomatic recloserDistribution reliabilityMarkovian modelsMinimal cut setsPower system reliabilityAlgorithmsElectric circuit breakersElectric industryElectric switchesMarkov processesMathematical modelsProblem solvingReal time systemsReliabilityAutomatic reclosersElectric power distributionThis paper presents a new methodology to evaluate in a predictive way the reliability of distribution systems, considering the impact of automatic recloser switches. The developed algorithm is based on state enumeration techniques with Markovian models and on the minimal cut set theory. Some computational aspects related with the implementation of the proposed algorithm in typical distribution networks are also discussed. The description of the proposed approach is carried out using a sample test system. The results obtained with a typical configuration of a Brazilian system (EDP Bandeirante Energia S.A.) are presented and discussed.Power System Unit INESC PortoInstitute of Electrical Eng. Federal University UNIFEI, ItajubáSão Paulo State University UNESP Campus of Guaratinguetá, SPEDP Bandeirante Energia S.A. Planning Division, SPSão Paulo State University UNESP Campus of Guaratinguetá, SPINESC PortoUniversidade Federal de Itajubá (UNIFEI)Universidade Estadual Paulista (Unesp)Planning DivisionLeite Da Silva, Armando M.Cassula, Agnelo M. [UNESP]Resende, Leonidas C.Almeida, Ronaldo M.Yamasaki, Mario T.Paula, Gustavo M. F.2014-05-27T11:21:13Z2014-05-27T11:21:13Z2004-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject100-105http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=13786702004 International Conference on Probabilistic Methods Applied to Power Systems, p. 100-105.http://hdl.handle.net/11449/680082-s2.0-14544293900Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2004 International Conference on Probabilistic Methods Applied to Power Systemsinfo:eu-repo/semantics/openAccess2024-07-01T20:12:24Zoai:repositorio.unesp.br:11449/68008Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:20:14.673937Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Reliability evaluation of distribution systems considering automatic reclosers
title Reliability evaluation of distribution systems considering automatic reclosers
spellingShingle Reliability evaluation of distribution systems considering automatic reclosers
Leite Da Silva, Armando M.
Automatic recloser
Distribution reliability
Markovian models
Minimal cut sets
Power system reliability
Algorithms
Electric circuit breakers
Electric industry
Electric switches
Markov processes
Mathematical models
Problem solving
Real time systems
Reliability
Automatic reclosers
Electric power distribution
title_short Reliability evaluation of distribution systems considering automatic reclosers
title_full Reliability evaluation of distribution systems considering automatic reclosers
title_fullStr Reliability evaluation of distribution systems considering automatic reclosers
title_full_unstemmed Reliability evaluation of distribution systems considering automatic reclosers
title_sort Reliability evaluation of distribution systems considering automatic reclosers
author Leite Da Silva, Armando M.
author_facet Leite Da Silva, Armando M.
Cassula, Agnelo M. [UNESP]
Resende, Leonidas C.
Almeida, Ronaldo M.
Yamasaki, Mario T.
Paula, Gustavo M. F.
author_role author
author2 Cassula, Agnelo M. [UNESP]
Resende, Leonidas C.
Almeida, Ronaldo M.
Yamasaki, Mario T.
Paula, Gustavo M. F.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv INESC Porto
Universidade Federal de Itajubá (UNIFEI)
Universidade Estadual Paulista (Unesp)
Planning Division
dc.contributor.author.fl_str_mv Leite Da Silva, Armando M.
Cassula, Agnelo M. [UNESP]
Resende, Leonidas C.
Almeida, Ronaldo M.
Yamasaki, Mario T.
Paula, Gustavo M. F.
dc.subject.por.fl_str_mv Automatic recloser
Distribution reliability
Markovian models
Minimal cut sets
Power system reliability
Algorithms
Electric circuit breakers
Electric industry
Electric switches
Markov processes
Mathematical models
Problem solving
Real time systems
Reliability
Automatic reclosers
Electric power distribution
topic Automatic recloser
Distribution reliability
Markovian models
Minimal cut sets
Power system reliability
Algorithms
Electric circuit breakers
Electric industry
Electric switches
Markov processes
Mathematical models
Problem solving
Real time systems
Reliability
Automatic reclosers
Electric power distribution
description This paper presents a new methodology to evaluate in a predictive way the reliability of distribution systems, considering the impact of automatic recloser switches. The developed algorithm is based on state enumeration techniques with Markovian models and on the minimal cut set theory. Some computational aspects related with the implementation of the proposed algorithm in typical distribution networks are also discussed. The description of the proposed approach is carried out using a sample test system. The results obtained with a typical configuration of a Brazilian system (EDP Bandeirante Energia S.A.) are presented and discussed.
publishDate 2004
dc.date.none.fl_str_mv 2004-12-01
2014-05-27T11:21:13Z
2014-05-27T11:21:13Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1378670
2004 International Conference on Probabilistic Methods Applied to Power Systems, p. 100-105.
http://hdl.handle.net/11449/68008
2-s2.0-14544293900
url http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1378670
http://hdl.handle.net/11449/68008
identifier_str_mv 2004 International Conference on Probabilistic Methods Applied to Power Systems, p. 100-105.
2-s2.0-14544293900
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2004 International Conference on Probabilistic Methods Applied to Power Systems
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 100-105
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_ 1808128793375670272

Registros relacionados