Fault section estimation in automated distribution substations
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
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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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 |