Bio-Inspired Metaheuristics Applied to the Parametrization of PI, PSS, and UPFC–POD Controllers for Small-Signal Stability Improvement in Power Systems

Detalhes bibliográficos
Autor(a) principal: Fortes, Elenilson V.
Data de Publicação: 2023
Outros Autores: Martins, Luís Fabiano Barone, Miotto, Ednei Luiz, Araujo, Percival Bueno [UNESP], Macedo, Leonardo H. [UNESP], Romero, Rubén [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s40313-022-00942-x
http://hdl.handle.net/11449/249157
Resumo: The firefly algorithm (FA) and the artificial bee colony (ABC) algorithm are used in this study to perform a coordinated parametrization of the proportional-integral and supplementary damping controllers, i.e., power system stabilizers (PSSs) and the unified power flow controller (UPFC)–power oscillation damping set. The parametrization obtained for the controllers should allow them to damp the low-frequency oscillatory modes in the power system for different loading scenarios. The power system dynamics is represented using a model based on current injections, known as the current sensitivity model, which implies that a formulation by current injections for the UPFC should be formulated. To validate the proposed optimization techniques and the current injection model for the UPFC for small-signal stability, simulations are carried out under two distinct perspectives, namely, static and dynamic analysis, using the New England system. The results demonstrated the effectiveness of the UPFC’s current injection model. Moreover, it was possible to verify that the FA performed better than the ABC algorithm to solve the discussed problem, accrediting both the UPFC current injection model and the FA algorithm as new tools for small-signal stability analysis in electrical power systems.
id UNSP_a52d6637a8fcbbf3718ba7cc86236d28
oai_identifier_str oai:repositorio.unesp.br:11449/249157
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Bio-Inspired Metaheuristics Applied to the Parametrization of PI, PSS, and UPFC–POD Controllers for Small-Signal Stability Improvement in Power SystemsArtificial bee colonyCurrent sensitivity modelFirefly algorithmPODPSSUPFCThe firefly algorithm (FA) and the artificial bee colony (ABC) algorithm are used in this study to perform a coordinated parametrization of the proportional-integral and supplementary damping controllers, i.e., power system stabilizers (PSSs) and the unified power flow controller (UPFC)–power oscillation damping set. The parametrization obtained for the controllers should allow them to damp the low-frequency oscillatory modes in the power system for different loading scenarios. The power system dynamics is represented using a model based on current injections, known as the current sensitivity model, which implies that a formulation by current injections for the UPFC should be formulated. To validate the proposed optimization techniques and the current injection model for the UPFC for small-signal stability, simulations are carried out under two distinct perspectives, namely, static and dynamic analysis, using the New England system. The results demonstrated the effectiveness of the UPFC’s current injection model. Moreover, it was possible to verify that the FA performed better than the ABC algorithm to solve the discussed problem, accrediting both the UPFC current injection model and the FA algorithm as new tools for small-signal stability analysis in electrical power systems.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Goiás Federal Institute of Education Science and Technology, Av. Presidente Juscelino Kubitschek 775, Residencial Flamboyant, GOParaná Federal Institute of Education Science and Technology, Av. Doutor Tito s/n, Jardim Panorama, PRFederal Technological University of Paraná, R. Cristo Rei, 19, Vila Becker, PRSão Paulo State University, Avenida Brasil, 56, Centro, SPSão Paulo State University, Avenida Brasil, 56, Centro, SPCAPES: 001FAPESP: 2015/21972-6FAPESP: 2018/20355-1CNPq: 305852/2017-5and TechnologyFederal Technological University of ParanáUniversidade Estadual Paulista (UNESP)Fortes, Elenilson V.Martins, Luís Fabiano BaroneMiotto, Ednei LuizAraujo, Percival Bueno [UNESP]Macedo, Leonardo H. [UNESP]Romero, Rubén [UNESP]2023-07-29T14:03:57Z2023-07-29T14:03:57Z2023-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article121-136http://dx.doi.org/10.1007/s40313-022-00942-xJournal of Control, Automation and Electrical Systems, v. 34, n. 1, p. 121-136, 2023.2195-38992195-3880http://hdl.handle.net/11449/24915710.1007/s40313-022-00942-x2-s2.0-85138145347Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Control, Automation and Electrical Systemsinfo:eu-repo/semantics/openAccess2024-07-04T19:06:03Zoai:repositorio.unesp.br:11449/249157Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:04:57.128814Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Bio-Inspired Metaheuristics Applied to the Parametrization of PI, PSS, and UPFC–POD Controllers for Small-Signal Stability Improvement in Power Systems
title Bio-Inspired Metaheuristics Applied to the Parametrization of PI, PSS, and UPFC–POD Controllers for Small-Signal Stability Improvement in Power Systems
spellingShingle Bio-Inspired Metaheuristics Applied to the Parametrization of PI, PSS, and UPFC–POD Controllers for Small-Signal Stability Improvement in Power Systems
Fortes, Elenilson V.
Artificial bee colony
Current sensitivity model
Firefly algorithm
POD
PSS
UPFC
title_short Bio-Inspired Metaheuristics Applied to the Parametrization of PI, PSS, and UPFC–POD Controllers for Small-Signal Stability Improvement in Power Systems
title_full Bio-Inspired Metaheuristics Applied to the Parametrization of PI, PSS, and UPFC–POD Controllers for Small-Signal Stability Improvement in Power Systems
title_fullStr Bio-Inspired Metaheuristics Applied to the Parametrization of PI, PSS, and UPFC–POD Controllers for Small-Signal Stability Improvement in Power Systems
title_full_unstemmed Bio-Inspired Metaheuristics Applied to the Parametrization of PI, PSS, and UPFC–POD Controllers for Small-Signal Stability Improvement in Power Systems
title_sort Bio-Inspired Metaheuristics Applied to the Parametrization of PI, PSS, and UPFC–POD Controllers for Small-Signal Stability Improvement in Power Systems
author Fortes, Elenilson V.
author_facet Fortes, Elenilson V.
Martins, Luís Fabiano Barone
Miotto, Ednei Luiz
Araujo, Percival Bueno [UNESP]
Macedo, Leonardo H. [UNESP]
Romero, Rubén [UNESP]
author_role author
author2 Martins, Luís Fabiano Barone
Miotto, Ednei Luiz
Araujo, Percival Bueno [UNESP]
Macedo, Leonardo H. [UNESP]
Romero, Rubén [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv and Technology
Federal Technological University of Paraná
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Fortes, Elenilson V.
Martins, Luís Fabiano Barone
Miotto, Ednei Luiz
Araujo, Percival Bueno [UNESP]
Macedo, Leonardo H. [UNESP]
Romero, Rubén [UNESP]
dc.subject.por.fl_str_mv Artificial bee colony
Current sensitivity model
Firefly algorithm
POD
PSS
UPFC
topic Artificial bee colony
Current sensitivity model
Firefly algorithm
POD
PSS
UPFC
description The firefly algorithm (FA) and the artificial bee colony (ABC) algorithm are used in this study to perform a coordinated parametrization of the proportional-integral and supplementary damping controllers, i.e., power system stabilizers (PSSs) and the unified power flow controller (UPFC)–power oscillation damping set. The parametrization obtained for the controllers should allow them to damp the low-frequency oscillatory modes in the power system for different loading scenarios. The power system dynamics is represented using a model based on current injections, known as the current sensitivity model, which implies that a formulation by current injections for the UPFC should be formulated. To validate the proposed optimization techniques and the current injection model for the UPFC for small-signal stability, simulations are carried out under two distinct perspectives, namely, static and dynamic analysis, using the New England system. The results demonstrated the effectiveness of the UPFC’s current injection model. Moreover, it was possible to verify that the FA performed better than the ABC algorithm to solve the discussed problem, accrediting both the UPFC current injection model and the FA algorithm as new tools for small-signal stability analysis in electrical power systems.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T14:03:57Z
2023-07-29T14:03:57Z
2023-02-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s40313-022-00942-x
Journal of Control, Automation and Electrical Systems, v. 34, n. 1, p. 121-136, 2023.
2195-3899
2195-3880
http://hdl.handle.net/11449/249157
10.1007/s40313-022-00942-x
2-s2.0-85138145347
url http://dx.doi.org/10.1007/s40313-022-00942-x
http://hdl.handle.net/11449/249157
identifier_str_mv Journal of Control, Automation and Electrical Systems, v. 34, n. 1, p. 121-136, 2023.
2195-3899
2195-3880
10.1007/s40313-022-00942-x
2-s2.0-85138145347
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Control, Automation and Electrical Systems
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 121-136
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_ 1808128605972070400