Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms in the tuning of PSS and UPFC-POD Controllers

Detalhes bibliográficos
Autor(a) principal: Martins, Luis Fabiano B.
Data de Publicação: 2016
Outros Autores: Gamino, Bruno R. [UNESP], Araujo, Percival B. de [UNESP], Fortes, Elenilson de V., Miotto, Ednei L., IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/163189
Resumo: In this work, the Artificial Bee Colony and Particle Swarm Optimization algorithms are used to tune supplementary damping controllers (Power System Stabilizers and Unified Power Flow Controller-Power Oscillation Damping). These controllers are inserted into a test system with the aim of introducing supplementary damping to low-frequency oscillation modes. A design for current injections of the UPFC device is suggested and incorporated into the Current Sensitivity Model, which represents the Electric Power System. The performance of Artificial Bee Colony and Particle Swarm Optimization algorithms are compared by simulations in the test system. The results obtained using these methodologies suggest that the Artificial Bee Colony algorithm has a superior performance in the solution of the proposed problem, demonstrating its usefulness as a tool in the analysis of small signal stability.
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spelling Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms in the tuning of PSS and UPFC-POD ControllersUnified Power Flow ControllerPower Systems StabilizersPower Oscillation DampingArtificial Bee ColonyParticle Swarm OptimizationIn this work, the Artificial Bee Colony and Particle Swarm Optimization algorithms are used to tune supplementary damping controllers (Power System Stabilizers and Unified Power Flow Controller-Power Oscillation Damping). These controllers are inserted into a test system with the aim of introducing supplementary damping to low-frequency oscillation modes. A design for current injections of the UPFC device is suggested and incorporated into the Current Sensitivity Model, which represents the Electric Power System. The performance of Artificial Bee Colony and Particle Swarm Optimization algorithms are compared by simulations in the test system. The results obtained using these methodologies suggest that the Artificial Bee Colony algorithm has a superior performance in the solution of the proposed problem, demonstrating its usefulness as a tool in the analysis of small signal stability.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Inst Fed Parana, Dept Electromech, BR-86400000 Jacarezinho, Parana, BrazilUniv Estadual Paulista, Dept Elect Engn, BR-15385000 Sao Paulo, BrazilInst Fed Goias, Dept Acad Areas, BR-75804714 Jatai, Go, BrazilUniv Tecnol Fed Parana, Dept Elect Engn, BR-85902490 Toledo, Parana, BrazilUniv Estadual Paulista, Dept Elect Engn, BR-15385000 Sao Paulo, BrazilIeeeInst Fed ParanaUniversidade Estadual Paulista (Unesp)Inst Fed GoiasUniv Tecnol Fed ParanaMartins, Luis Fabiano B.Gamino, Bruno R. [UNESP]Araujo, Percival B. de [UNESP]Fortes, Elenilson de V.Miotto, Ednei L.IEEE2018-11-26T17:40:27Z2018-11-26T17:40:27Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject82016 12th Ieee/ias International Conference On Industry Applications (induscon). New York: Ieee, 8 p., 2016.http://hdl.handle.net/11449/163189WOS:000408912200079Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2016 12th Ieee/ias International Conference On Industry Applications (induscon)info:eu-repo/semantics/openAccess2021-10-23T21:44:37Zoai:repositorio.unesp.br:11449/163189Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:44:37Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms in the tuning of PSS and UPFC-POD Controllers
title Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms in the tuning of PSS and UPFC-POD Controllers
spellingShingle Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms in the tuning of PSS and UPFC-POD Controllers
Martins, Luis Fabiano B.
Unified Power Flow Controller
Power Systems Stabilizers
Power Oscillation Damping
Artificial Bee Colony
Particle Swarm Optimization
title_short Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms in the tuning of PSS and UPFC-POD Controllers
title_full Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms in the tuning of PSS and UPFC-POD Controllers
title_fullStr Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms in the tuning of PSS and UPFC-POD Controllers
title_full_unstemmed Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms in the tuning of PSS and UPFC-POD Controllers
title_sort Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms in the tuning of PSS and UPFC-POD Controllers
author Martins, Luis Fabiano B.
author_facet Martins, Luis Fabiano B.
Gamino, Bruno R. [UNESP]
Araujo, Percival B. de [UNESP]
Fortes, Elenilson de V.
Miotto, Ednei L.
IEEE
author_role author
author2 Gamino, Bruno R. [UNESP]
Araujo, Percival B. de [UNESP]
Fortes, Elenilson de V.
Miotto, Ednei L.
IEEE
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Inst Fed Parana
Universidade Estadual Paulista (Unesp)
Inst Fed Goias
Univ Tecnol Fed Parana
dc.contributor.author.fl_str_mv Martins, Luis Fabiano B.
Gamino, Bruno R. [UNESP]
Araujo, Percival B. de [UNESP]
Fortes, Elenilson de V.
Miotto, Ednei L.
IEEE
dc.subject.por.fl_str_mv Unified Power Flow Controller
Power Systems Stabilizers
Power Oscillation Damping
Artificial Bee Colony
Particle Swarm Optimization
topic Unified Power Flow Controller
Power Systems Stabilizers
Power Oscillation Damping
Artificial Bee Colony
Particle Swarm Optimization
description In this work, the Artificial Bee Colony and Particle Swarm Optimization algorithms are used to tune supplementary damping controllers (Power System Stabilizers and Unified Power Flow Controller-Power Oscillation Damping). These controllers are inserted into a test system with the aim of introducing supplementary damping to low-frequency oscillation modes. A design for current injections of the UPFC device is suggested and incorporated into the Current Sensitivity Model, which represents the Electric Power System. The performance of Artificial Bee Colony and Particle Swarm Optimization algorithms are compared by simulations in the test system. The results obtained using these methodologies suggest that the Artificial Bee Colony algorithm has a superior performance in the solution of the proposed problem, demonstrating its usefulness as a tool in the analysis of small signal stability.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
2018-11-26T17:40:27Z
2018-11-26T17:40:27Z
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 2016 12th Ieee/ias International Conference On Industry Applications (induscon). New York: Ieee, 8 p., 2016.
http://hdl.handle.net/11449/163189
WOS:000408912200079
identifier_str_mv 2016 12th Ieee/ias International Conference On Industry Applications (induscon). New York: Ieee, 8 p., 2016.
WOS:000408912200079
url http://hdl.handle.net/11449/163189
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2016 12th Ieee/ias International Conference On Industry Applications (induscon)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 8
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
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