Fault section estimation in electric power systems using an artificial immune system algorithm

Detalhes bibliográficos
Autor(a) principal: Leão, Fábio Bertequini [UNESP]
Data de Publicação: 2008
Outros Autores: Pereira, Rodrigo A. F. [UNESP], Mantovani, José R. S. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/228053
Resumo: This work proposes an unconstrained binary programming (UBP) model for fault section estimation in power systems. UBP model consists in a set of equations that represent in a logical way the expected states of the relays of the apparatus protection system. An artificial immune system algorithm (AISA) is developed in order to find the correct fault section estimate provided by the data from the supervisory control and data acquisition (SCADA) system. The proposed methodology is tested using part of the South-Brazilian electric power system. Control parameters of the AISA are calibrated to increase the efficiency and velocity of the algorithm. Results show the potential and the efficiency of the proposed methodology to fault section estimation online in electric power systems.
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spelling Fault section estimation in electric power systems using an artificial immune system algorithmArtificial immune systemsFault section estimationPower system protectionThis work proposes an unconstrained binary programming (UBP) model for fault section estimation in power systems. UBP model consists in a set of equations that represent in a logical way the expected states of the relays of the apparatus protection system. An artificial immune system algorithm (AISA) is developed in order to find the correct fault section estimate provided by the data from the supervisory control and data acquisition (SCADA) system. The proposed methodology is tested using part of the South-Brazilian electric power system. Control parameters of the AISA are calibrated to increase the efficiency and velocity of the algorithm. Results show the potential and the efficiency of the proposed methodology to fault section estimation online in electric power systems.Reserch Group in Electric Power System Planning, Department of Electrical Engineering, Engineering College of Ilha Solteira, São Paulo State University, UNESP, Post Office Box 31Reserch Group in Electric Power System Planning, Department of Electrical Engineering, Engineering College of Ilha Solteira, São Paulo State University, UNESP, Post Office Box 31Universidade Estadual Paulista (UNESP)Leão, Fábio Bertequini [UNESP]Pereira, Rodrigo A. F. [UNESP]Mantovani, José R. S. [UNESP]2022-04-29T07:26:29Z2022-04-29T07:26:29Z2008-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject16th Power Systems Computation Conference, PSCC 2008.http://hdl.handle.net/11449/2280532-s2.0-84944097046Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng16th Power Systems Computation Conference, PSCC 2008info:eu-repo/semantics/openAccess2022-04-29T07:26:29Zoai:repositorio.unesp.br:11449/228053Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-29T07:26:29Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Fault section estimation in electric power systems using an artificial immune system algorithm
title Fault section estimation in electric power systems using an artificial immune system algorithm
spellingShingle Fault section estimation in electric power systems using an artificial immune system algorithm
Leão, Fábio Bertequini [UNESP]
Artificial immune systems
Fault section estimation
Power system protection
title_short Fault section estimation in electric power systems using an artificial immune system algorithm
title_full Fault section estimation in electric power systems using an artificial immune system algorithm
title_fullStr Fault section estimation in electric power systems using an artificial immune system algorithm
title_full_unstemmed Fault section estimation in electric power systems using an artificial immune system algorithm
title_sort Fault section estimation in electric power systems using an artificial immune system algorithm
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 Artificial immune systems
Fault section estimation
Power system protection
topic Artificial immune systems
Fault section estimation
Power system protection
description This work proposes an unconstrained binary programming (UBP) model for fault section estimation in power systems. UBP model consists in a set of equations that represent in a logical way the expected states of the relays of the apparatus protection system. An artificial immune system algorithm (AISA) is developed in order to find the correct fault section estimate provided by the data from the supervisory control and data acquisition (SCADA) system. The proposed methodology is tested using part of the South-Brazilian electric power system. Control parameters of the AISA are calibrated to increase the efficiency and velocity of the algorithm. Results show the potential and the efficiency of the proposed methodology to fault section estimation online in electric power systems.
publishDate 2008
dc.date.none.fl_str_mv 2008-01-01
2022-04-29T07:26:29Z
2022-04-29T07:26:29Z
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 16th Power Systems Computation Conference, PSCC 2008.
http://hdl.handle.net/11449/228053
2-s2.0-84944097046
identifier_str_mv 16th Power Systems Computation Conference, PSCC 2008.
2-s2.0-84944097046
url http://hdl.handle.net/11449/228053
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 16th Power Systems Computation Conference, PSCC 2008
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
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