Fault section estimation in automated distribution substations

Detalhes bibliográficos
Autor(a) principal: Leão, Fábio Bertequini [UNESP]
Data de Publicação: 2009
Outros Autores: Pereira, Rodrigo A. F. [UNESP], Mantovani, José R. S. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/PES.2009.5275338
http://hdl.handle.net/11449/71484
Resumo: In this paper, a methodology based on Unconstrained Binary Programming (UBP) model and Genetic Algorithms (GAs) is proposed for estimating fault sections in automated distribution substations. The UBP model, established by using the parsimonious set covering theory, looks for the match between the relays' protective alarms informed by the SCADA system and their expected states. The GA is developed to minimize the UBP model and estimate the fault sections in a swift and reliable manner. The proposed methodology is tested by utilizing a real-life automated distribution substation. Control parameters of the GA are tuned to achieve maximum computational efficiency and reduction of processing time. Results show the potential and efficiency of the methodology for estimating fault section in real-time at Distribution Control Centers. ©2009 IEEE.
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spelling Fault section estimation in automated distribution substationsDistribution substationsFault section estimationGenetic algorithmsProtective relayingAutomated distributionBinary programmingControl parametersDistribution control centerFault sectionsProcessing TimeSet covering theoryAutomationControl system analysisEstimationMobile telecommunication systemsPotential energyPotential energy surfacesRelay protectionSCADA systemsComputational efficiencyIn this paper, a methodology based on Unconstrained Binary Programming (UBP) model and Genetic Algorithms (GAs) is proposed for estimating fault sections in automated distribution substations. The UBP model, established by using the parsimonious set covering theory, looks for the match between the relays' protective alarms informed by the SCADA system and their expected states. The GA is developed to minimize the UBP model and estimate the fault sections in a swift and reliable manner. The proposed methodology is tested by utilizing a real-life automated distribution substation. Control parameters of the GA are tuned to achieve maximum computational efficiency and reduction of processing time. Results show the potential and efficiency of the methodology for estimating fault section in real-time at Distribution Control Centers. ©2009 IEEE.Department of Electrical Engineering Engineering College of Ilha Solteira São Paulo State University, Post Office Box 31, 15385-000, Ilha Solteira, SPDepartment of Electrical Engineering Engineering College of Ilha Solteira São Paulo State University, Post Office Box 31, 15385-000, Ilha Solteira, SPUniversidade Estadual Paulista (Unesp)Leão, Fábio Bertequini [UNESP]Pereira, Rodrigo A. F. [UNESP]Mantovani, José R. S. [UNESP]2014-05-27T11:24:35Z2014-05-27T11:24:35Z2009-12-17info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PES.2009.52753382009 IEEE Power and Energy Society General Meeting, PES '09.http://hdl.handle.net/11449/7148410.1109/PES.2009.5275338WOS:0002755249021052-s2.0-7184911110512489565932365150000-0002-8846-24230000-0002-8846-2423Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2009 IEEE Power and Energy Society General Meeting, PES '09info:eu-repo/semantics/openAccess2021-10-23T21:41:31Zoai:repositorio.unesp.br:11449/71484Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:41:31Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Fault section estimation in automated distribution substations
title Fault section estimation in automated distribution substations
spellingShingle Fault section estimation in automated distribution substations
Leão, Fábio Bertequini [UNESP]
Distribution substations
Fault section estimation
Genetic algorithms
Protective relaying
Automated distribution
Binary programming
Control parameters
Distribution control center
Fault sections
Processing Time
Set covering theory
Automation
Control system analysis
Estimation
Mobile telecommunication systems
Potential energy
Potential energy surfaces
Relay protection
SCADA systems
Computational efficiency
title_short Fault section estimation in automated distribution substations
title_full Fault section estimation in automated distribution substations
title_fullStr Fault section estimation in automated distribution substations
title_full_unstemmed Fault section estimation in automated distribution substations
title_sort Fault section estimation in automated distribution substations
author Leão, Fábio Bertequini [UNESP]
author_facet Leão, Fábio Bertequini [UNESP]
Pereira, Rodrigo A. F. [UNESP]
Mantovani, José R. S. [UNESP]
author_role author
author2 Pereira, Rodrigo A. F. [UNESP]
Mantovani, José R. S. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Leão, Fábio Bertequini [UNESP]
Pereira, Rodrigo A. F. [UNESP]
Mantovani, José R. S. [UNESP]
dc.subject.por.fl_str_mv Distribution substations
Fault section estimation
Genetic algorithms
Protective relaying
Automated distribution
Binary programming
Control parameters
Distribution control center
Fault sections
Processing Time
Set covering theory
Automation
Control system analysis
Estimation
Mobile telecommunication systems
Potential energy
Potential energy surfaces
Relay protection
SCADA systems
Computational efficiency
topic Distribution substations
Fault section estimation
Genetic algorithms
Protective relaying
Automated distribution
Binary programming
Control parameters
Distribution control center
Fault sections
Processing Time
Set covering theory
Automation
Control system analysis
Estimation
Mobile telecommunication systems
Potential energy
Potential energy surfaces
Relay protection
SCADA systems
Computational efficiency
description In this paper, a methodology based on Unconstrained Binary Programming (UBP) model and Genetic Algorithms (GAs) is proposed for estimating fault sections in automated distribution substations. The UBP model, established by using the parsimonious set covering theory, looks for the match between the relays' protective alarms informed by the SCADA system and their expected states. The GA is developed to minimize the UBP model and estimate the fault sections in a swift and reliable manner. The proposed methodology is tested by utilizing a real-life automated distribution substation. Control parameters of the GA are tuned to achieve maximum computational efficiency and reduction of processing time. Results show the potential and efficiency of the methodology for estimating fault section in real-time at Distribution Control Centers. ©2009 IEEE.
publishDate 2009
dc.date.none.fl_str_mv 2009-12-17
2014-05-27T11:24:35Z
2014-05-27T11:24:35Z
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://dx.doi.org/10.1109/PES.2009.5275338
2009 IEEE Power and Energy Society General Meeting, PES '09.
http://hdl.handle.net/11449/71484
10.1109/PES.2009.5275338
WOS:000275524902105
2-s2.0-71849111105
1248956593236515
0000-0002-8846-2423
0000-0002-8846-2423
url http://dx.doi.org/10.1109/PES.2009.5275338
http://hdl.handle.net/11449/71484
identifier_str_mv 2009 IEEE Power and Energy Society General Meeting, PES '09.
10.1109/PES.2009.5275338
WOS:000275524902105
2-s2.0-71849111105
1248956593236515
0000-0002-8846-2423
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2009 IEEE Power and Energy Society General Meeting, PES '09
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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_ 1803650039896080384

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