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]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ROPEC48299.2019.9057099
http://hdl.handle.net/11449/198752
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.
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spelling A binary integer linear programming model for fault section estimation in electric power systemsElectrical power SystemsFault diagnosisFault section estimationInteger programmingMathematical 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.São Paulo State University (Unesp) Department of Electrical EngineeringSão Paulo State University (Unesp) Department of Electrical EngineeringUniversidade Estadual Paulista (Unesp)Escoto, Esau Figueroa [UNESP]Leao, Fabio Bertequini [UNESP]2020-12-12T01:21:06Z2020-12-12T01:21:06Z2019-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ROPEC48299.2019.90570992019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019.http://hdl.handle.net/11449/19875210.1109/ROPEC48299.2019.90570992-s2.0-85083579677Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019info:eu-repo/semantics/openAccess2021-10-22T20:11:17Zoai:repositorio.unesp.br:11449/198752Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:57:37.636343Repositório 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]
Electrical power Systems
Fault diagnosis
Fault section estimation
Integer programming
Mathematical 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]
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 Electrical power Systems
Fault diagnosis
Fault section estimation
Integer programming
Mathematical programming
topic Electrical power Systems
Fault diagnosis
Fault section estimation
Integer programming
Mathematical 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 2019-11-01
2020-12-12T01:21:06Z
2020-12-12T01:21:06Z
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/ROPEC48299.2019.9057099
2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019.
http://hdl.handle.net/11449/198752
10.1109/ROPEC48299.2019.9057099
2-s2.0-85083579677
url http://dx.doi.org/10.1109/ROPEC48299.2019.9057099
http://hdl.handle.net/11449/198752
identifier_str_mv 2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019.
10.1109/ROPEC48299.2019.9057099
2-s2.0-85083579677
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.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_ 1808129142709813248

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