A nonlinear binary programming model for fault section estimation in electric power systems

Detalhes bibliográficos
Autor(a) principal: Escoto, Esau Figueroa [UNESP]
Data de Publicação: 2017
Outros Autores: Leao, Fabio Bertequini [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ROPEC.2017.8261625
http://hdl.handle.net/11449/228539
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.Department of Electrical Engineering FEIS Sao Paulo State UniversityDepartment of Electrical Engineering FEIS Sao Paulo State UniversityUniversidade Estadual Paulista (UNESP)Escoto, Esau Figueroa [UNESP]Leao, Fabio Bertequini [UNESP]2022-04-29T08:27:18Z2022-04-29T08:27:18Z2017-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1-6http://dx.doi.org/10.1109/ROPEC.2017.82616252017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017, v. 2018-January, p. 1-6.http://hdl.handle.net/11449/22853910.1109/ROPEC.2017.82616252-s2.0-85046302671Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017info:eu-repo/semantics/openAccess2024-07-04T19:11:21Zoai:repositorio.unesp.br:11449/228539Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:06:32.287529Repositório 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
Escoto, Esau Figueroa [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 Escoto, Esau Figueroa [UNESP]
author_facet Escoto, Esau Figueroa [UNESP]
Leao, Fabio Bertequini [UNESP]
author_role author
author2 Leao, Fabio Bertequini [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Escoto, Esau Figueroa [UNESP]
Leao, Fabio Bertequini [UNESP]
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 2017-07-01
2022-04-29T08:27:18Z
2022-04-29T08:27:18Z
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/ROPEC.2017.8261625
2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017, v. 2018-January, p. 1-6.
http://hdl.handle.net/11449/228539
10.1109/ROPEC.2017.8261625
2-s2.0-85046302671
url http://dx.doi.org/10.1109/ROPEC.2017.8261625
http://hdl.handle.net/11449/228539
identifier_str_mv 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017, v. 2018-January, p. 1-6.
10.1109/ROPEC.2017.8261625
2-s2.0-85046302671
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 2017
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-6
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_ 1808128463768387584

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