Defects location in power systems components through a dedicated genetic algorithm

Detalhes bibliográficos
Autor(a) principal: Leão, Fábio Bertequini [UNESP]
Data de Publicação: 2004
Outros Autores: Da Silva, Luis Gustavo Wesz [UNESP], Mantovani, José Roberto Sanches [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TDC.2004.1432351
http://hdl.handle.net/11449/67974
Resumo: In this work the problem of defects location in power systems is formulated through a binary linear programming (BLP) model based on alarms historical database of control and protection devices from the system control center, sets theory of minimal coverage (AI) and protection philosophy adopted by the electric utility. In this model, circuit breaker operations are compared to their expected states in a strictly mathematical manner. For solving this BLP problem, which presents a great number of decision variables, a dedicated Genetic Algorithm (GA), is proposed. Control parameters of the GA, such as crossing over and mutation rates, population size, iterations number and population diversification, are calibrated in order to obtain efficiency and robustness. Results for a test system found in literature, are presented and discussed. © 2004 IEEE.
id UNSP_6c09815b647bf962dc52c015670b86b9
oai_identifier_str oai:repositorio.unesp.br:11449/67974
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Defects location in power systems components through a dedicated genetic algorithmGenetic algorithmsPower systems protectionDefectsElectric fault locationElectric relaysElectric utilitiesLinear programmingProblem solvingRobustness (control systems)Alarm messagesBinary linear programming (BLP)Decision variablesElectric power systemsIn this work the problem of defects location in power systems is formulated through a binary linear programming (BLP) model based on alarms historical database of control and protection devices from the system control center, sets theory of minimal coverage (AI) and protection philosophy adopted by the electric utility. In this model, circuit breaker operations are compared to their expected states in a strictly mathematical manner. For solving this BLP problem, which presents a great number of decision variables, a dedicated Genetic Algorithm (GA), is proposed. Control parameters of the GA, such as crossing over and mutation rates, population size, iterations number and population diversification, are calibrated in order to obtain efficiency and robustness. Results for a test system found in literature, are presented and discussed. © 2004 IEEE.Universidade Estadual Paulista Department of Electrical Engineering, 15385-000 Ilha Solteira-SPUniversidade Estadual Paulista Department of Electrical Engineering, 15385-000 Ilha Solteira-SPUniversidade Estadual Paulista (Unesp)Leão, Fábio Bertequini [UNESP]Da Silva, Luis Gustavo Wesz [UNESP]Mantovani, José Roberto Sanches [UNESP]2014-05-27T11:21:12Z2014-05-27T11:21:12Z2004-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject57-62http://dx.doi.org/10.1109/TDC.2004.14323512004 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, p. 57-62.http://hdl.handle.net/11449/6797410.1109/TDC.2004.1432351WOS:0002283584000112-s2.0-22744447294061402128336126512489565932365150000-0002-8846-2423Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2004 IEEE/PES Transmission and Distribution Conference and Exposition: Latin Americainfo:eu-repo/semantics/openAccess2024-07-04T19:11:38Zoai:repositorio.unesp.br:11449/67974Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:20:03.620743Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Defects location in power systems components through a dedicated genetic algorithm
title Defects location in power systems components through a dedicated genetic algorithm
spellingShingle Defects location in power systems components through a dedicated genetic algorithm
Leão, Fábio Bertequini [UNESP]
Genetic algorithms
Power systems protection
Defects
Electric fault location
Electric relays
Electric utilities
Linear programming
Problem solving
Robustness (control systems)
Alarm messages
Binary linear programming (BLP)
Decision variables
Electric power systems
title_short Defects location in power systems components through a dedicated genetic algorithm
title_full Defects location in power systems components through a dedicated genetic algorithm
title_fullStr Defects location in power systems components through a dedicated genetic algorithm
title_full_unstemmed Defects location in power systems components through a dedicated genetic algorithm
title_sort Defects location in power systems components through a dedicated genetic algorithm
author Leão, Fábio Bertequini [UNESP]
author_facet Leão, Fábio Bertequini [UNESP]
Da Silva, Luis Gustavo Wesz [UNESP]
Mantovani, José Roberto Sanches [UNESP]
author_role author
author2 Da Silva, Luis Gustavo Wesz [UNESP]
Mantovani, José Roberto Sanches [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]
Da Silva, Luis Gustavo Wesz [UNESP]
Mantovani, José Roberto Sanches [UNESP]
dc.subject.por.fl_str_mv Genetic algorithms
Power systems protection
Defects
Electric fault location
Electric relays
Electric utilities
Linear programming
Problem solving
Robustness (control systems)
Alarm messages
Binary linear programming (BLP)
Decision variables
Electric power systems
topic Genetic algorithms
Power systems protection
Defects
Electric fault location
Electric relays
Electric utilities
Linear programming
Problem solving
Robustness (control systems)
Alarm messages
Binary linear programming (BLP)
Decision variables
Electric power systems
description In this work the problem of defects location in power systems is formulated through a binary linear programming (BLP) model based on alarms historical database of control and protection devices from the system control center, sets theory of minimal coverage (AI) and protection philosophy adopted by the electric utility. In this model, circuit breaker operations are compared to their expected states in a strictly mathematical manner. For solving this BLP problem, which presents a great number of decision variables, a dedicated Genetic Algorithm (GA), is proposed. Control parameters of the GA, such as crossing over and mutation rates, population size, iterations number and population diversification, are calibrated in order to obtain efficiency and robustness. Results for a test system found in literature, are presented and discussed. © 2004 IEEE.
publishDate 2004
dc.date.none.fl_str_mv 2004-12-01
2014-05-27T11:21:12Z
2014-05-27T11:21:12Z
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/TDC.2004.1432351
2004 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, p. 57-62.
http://hdl.handle.net/11449/67974
10.1109/TDC.2004.1432351
WOS:000228358400011
2-s2.0-22744447294
0614021283361265
1248956593236515
0000-0002-8846-2423
url http://dx.doi.org/10.1109/TDC.2004.1432351
http://hdl.handle.net/11449/67974
identifier_str_mv 2004 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, p. 57-62.
10.1109/TDC.2004.1432351
WOS:000228358400011
2-s2.0-22744447294
0614021283361265
1248956593236515
0000-0002-8846-2423
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2004 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 57-62
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_ 1808128921069158400

Registros relacionados