A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems

Detalhes bibliográficos
Autor(a) principal: Figueroa Escoto, Esau [UNESP]
Data de Publicação: 2017
Outros Autores: Leao, Fabio Bertequini [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/164005
Resumo: This paper proposes a method to solve the fault section estimation (FSE) problem in power systems by developing a nonlinear binary programming model using the AMPL mathematical programming language. This model is developed based on the minimum set covering problem that contemplates the philosophy and logic of the protection system employed by electrical power companies and associates the alarms of the protective relays reported by the SCADA system with the expected states of the protective relays' functions. The proposed method was evaluated using a benchmark test system found in the related literature and the results show its efficiency, correct diagnosis, computational robustness, with the advantage of not needing to calibrate any control parameter or training in order to solve the fault section estimation problem in power systems.
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spelling A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power SystemsFault diagnosisFault section estimationPower Systems ProtectionProtective RelayingThis paper proposes a method to solve the fault section estimation (FSE) problem in power systems by developing a nonlinear binary programming model using the AMPL mathematical programming language. This model is developed based on the minimum set covering problem that contemplates the philosophy and logic of the protection system employed by electrical power companies and associates the alarms of the protective relays reported by the SCADA system with the expected states of the protective relays' functions. The proposed method was evaluated using a benchmark test system found in the related literature and the results show its efficiency, correct diagnosis, computational robustness, with the advantage of not needing to calibrate any control parameter or training in order to solve the fault section estimation problem in power systems.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Sao Paulo State Univ, Dept Elect Engn, FEIS, Ilha Solteira, BrazilSao Paulo State Univ UNESP, Res Grp Elect Power Syst Planning, Dept Elect Engn, Engn Coll Ilha Solteira, POB 31, BR-15385000 Ilha Solteira, SP, BrazilSao Paulo State Univ, Dept Elect Engn, FEIS, Ilha Solteira, BrazilSao Paulo State Univ UNESP, Res Grp Elect Power Syst Planning, Dept Elect Engn, Engn Coll Ilha Solteira, POB 31, BR-15385000 Ilha Solteira, SP, BrazilCNPq: 142046/2016-7FAPESP: 2006/02569-7IeeeUniversidade Estadual Paulista (Unesp)Figueroa Escoto, Esau [UNESP]Leao, Fabio Bertequini [UNESP]IEEE2018-11-26T17:48:44Z2018-11-26T17:48:44Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62017 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec). New York: Ieee, 6 p., 2017.2381-5515http://hdl.handle.net/11449/164005WOS:000427915800053Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2017 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec)info:eu-repo/semantics/openAccess2024-07-04T19:11:38Zoai:repositorio.unesp.br:11449/164005Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:09:00.044222Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems
title A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems
spellingShingle A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems
Figueroa Escoto, Esau [UNESP]
Fault diagnosis
Fault section estimation
Power Systems Protection
Protective Relaying
title_short A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems
title_full A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems
title_fullStr A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems
title_full_unstemmed A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems
title_sort A Nonlinear Binary Programming Model for Fault Section Estimation in Electric Power Systems
author Figueroa Escoto, Esau [UNESP]
author_facet Figueroa Escoto, Esau [UNESP]
Leao, Fabio Bertequini [UNESP]
IEEE
author_role author
author2 Leao, Fabio Bertequini [UNESP]
IEEE
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Figueroa Escoto, Esau [UNESP]
Leao, Fabio Bertequini [UNESP]
IEEE
dc.subject.por.fl_str_mv Fault diagnosis
Fault section estimation
Power Systems Protection
Protective Relaying
topic Fault diagnosis
Fault section estimation
Power Systems Protection
Protective Relaying
description This paper proposes a method to solve the fault section estimation (FSE) problem in power systems by developing a nonlinear binary programming model using the AMPL mathematical programming language. This model is developed based on the minimum set covering problem that contemplates the philosophy and logic of the protection system employed by electrical power companies and associates the alarms of the protective relays reported by the SCADA system with the expected states of the protective relays' functions. The proposed method was evaluated using a benchmark test system found in the related literature and the results show its efficiency, correct diagnosis, computational robustness, with the advantage of not needing to calibrate any control parameter or training in order to solve the fault section estimation problem in power systems.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
2018-11-26T17:48:44Z
2018-11-26T17:48:44Z
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 2017 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec). New York: Ieee, 6 p., 2017.
2381-5515
http://hdl.handle.net/11449/164005
WOS:000427915800053
identifier_str_mv 2017 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec). New York: Ieee, 6 p., 2017.
2381-5515
WOS:000427915800053
url http://hdl.handle.net/11449/164005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2017 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
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
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