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

Detalhes bibliográficos
Autor(a) principal: Escoto, Esau Figueroa [UNESP]
Data de Publicação: 2019
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/11449/209461
Resumo: A new method, based on binary integer programming, to solve the problem of fault section estimation in power systems is developed in this work. This optimization model is formulated based on a set of minimum covers, subject to logical protection constraints applied by electric power companies. Constraints of this formulation, compares protection relay alarms reported from the SCADA system with the expected states of the protection relay functions allocated in power system. Naturally, the proposed problem is a complex binary integer nonlinear programming model. In order to apply classical optimization techniques, this model is recast as binary integer linear programming model. Numerical results show the effectiveness, applicability and robustness of the presented strategy by using a 7-bus test system.
id UNSP_e98919a9809ef3d68bea03b2b57b100a
oai_identifier_str oai:repositorio.unesp.br:11449/209461
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling A Binary Integer Linear Programming Model for Fault Section Estimation in Electric Power SystemsFault diagnosisFault section estimationMathematical programmingElectrical power Systemsinteger programmingA new method, based on binary integer programming, to solve the problem of fault section estimation in power systems is developed in this work. This optimization model is formulated based on a set of minimum covers, subject to logical protection constraints applied by electric power companies. Constraints of this formulation, compares protection relay alarms reported from the SCADA system with the expected states of the protection relay functions allocated in power system. Naturally, the proposed problem is a complex binary integer nonlinear programming model. In order to apply classical optimization techniques, this model is recast as binary integer linear programming model. Numerical results show the effectiveness, applicability and robustness of the presented strategy by using a 7-bus test system.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 Unesp, Dept Elect Engn, Ilha Solteira, SP, BrazilSao Paulo State Univ Unesp, Dept Elect Engn, Ilha Solteira, SP, BrazilCNPq: 142046/2016-7FAPESP: 2015/21972-6CAPES: 001IeeeUniversidade Estadual Paulista (Unesp)Escoto, Esau Figueroa [UNESP]Leao, Fabio Bertequini [UNESP]IEEE2021-06-25T12:19:24Z2021-06-25T12:19:24Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62019 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec 2019). New York: Ieee, 6 p., 2019.2381-5515http://hdl.handle.net/11449/209461WOS:000569520800071Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2019 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec 2019)info:eu-repo/semantics/openAccess2024-07-04T19:11:55Zoai:repositorio.unesp.br:11449/209461Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:56:16.875488Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Binary Integer Linear Programming Model for Fault Section Estimation in Electric Power Systems
title A Binary Integer Linear Programming Model for Fault Section Estimation in Electric Power Systems
spellingShingle A Binary Integer Linear Programming Model for Fault Section Estimation in Electric Power Systems
Escoto, Esau Figueroa [UNESP]
Fault diagnosis
Fault section estimation
Mathematical programming
Electrical power Systems
integer programming
title_short A Binary Integer Linear Programming Model for Fault Section Estimation in Electric Power Systems
title_full A Binary Integer Linear Programming Model for Fault Section Estimation in Electric Power Systems
title_fullStr A Binary Integer Linear Programming Model for Fault Section Estimation in Electric Power Systems
title_full_unstemmed A Binary Integer Linear Programming Model for Fault Section Estimation in Electric Power Systems
title_sort A Binary Integer Linear 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]
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 Escoto, Esau Figueroa [UNESP]
Leao, Fabio Bertequini [UNESP]
IEEE
dc.subject.por.fl_str_mv Fault diagnosis
Fault section estimation
Mathematical programming
Electrical power Systems
integer programming
topic Fault diagnosis
Fault section estimation
Mathematical programming
Electrical power Systems
integer programming
description A new method, based on binary integer programming, to solve the problem of fault section estimation in power systems is developed in this work. This optimization model is formulated based on a set of minimum covers, subject to logical protection constraints applied by electric power companies. Constraints of this formulation, compares protection relay alarms reported from the SCADA system with the expected states of the protection relay functions allocated in power system. Naturally, the proposed problem is a complex binary integer nonlinear programming model. In order to apply classical optimization techniques, this model is recast as binary integer linear programming model. Numerical results show the effectiveness, applicability and robustness of the presented strategy by using a 7-bus test system.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
2021-06-25T12:19:24Z
2021-06-25T12:19:24Z
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 2019 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec 2019). New York: Ieee, 6 p., 2019.
2381-5515
http://hdl.handle.net/11449/209461
WOS:000569520800071
identifier_str_mv 2019 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec 2019). New York: Ieee, 6 p., 2019.
2381-5515
WOS:000569520800071
url http://hdl.handle.net/11449/209461
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2019 Ieee International Autumn Meeting On Power, Electronics And Computing (ropec 2019)
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
_version_ 1808129475918954496

Registros relacionados