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

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Autor(es): dc.contributorGoias Fed Inst Educ Sci & Technol-
Autor(es): dc.contributorParana Fed Inst Educ Sci & Technol-
Autor(es): dc.contributorFed Technol Univ Parana-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorFortes, Elenilson-
Autor(es): dc.creatorMartins, Luis Fabiano Barone-
Autor(es): dc.creatorMiotto, Ednei Luiz-
Autor(es): dc.creatorAraujo, Percival Bueno-
Autor(es): dc.creatorMacedo, Leonardo H.-
Autor(es): dc.creatorRomero, Ruben-
Data de aceite: dc.date.accessioned2025-08-21T22:15:58Z-
Data de disponibilização: dc.date.available2025-08-21T22:15:58Z-
Data de envio: dc.date.issued2022-11-29-
Data de envio: dc.date.issued2022-11-29-
Data de envio: dc.date.issued2022-09-16-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s40313-022-00942-x-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/237971-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/237971-
Descrição: dc.descriptionThe 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.-
Descrição: dc.descriptionGoias Fed Inst Educ Sci & Technol, Av Presidente Juscelino Kubitschek 775, BR-75804714 Jatai, Go, Brazil-
Descrição: dc.descriptionParana Fed Inst Educ Sci & Technol, Av Doutor Tito Sn, BR-86400000 Jacarezinho, PR, Brazil-
Descrição: dc.descriptionFed Technol Univ Parana, R Cristo Rei 19, BR-85902490 Toledo, PR, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Ave Brasil 56, BR-15385000 Ilha Solteira, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Ave Brasil 56, BR-15385000 Ilha Solteira, SP, Brazil-
Formato: dc.format16-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Relação: dc.relationJournal Of Control Automation And Electrical Systems-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectArtificial bee colony-
Palavras-chave: dc.subjectCurrent sensitivity model-
Palavras-chave: dc.subjectFirefly algorithm-
Palavras-chave: dc.subjectPOD-
Palavras-chave: dc.subjectPSS-
Palavras-chave: dc.subjectUPFC-
Título: dc.titleBio-Inspired Metaheuristics Applied to the Parametrization of PI, PSS, and UPFC-POD Controllers for Small-Signal Stability Improvement in Power Systems-
Tipo de arquivo: dc.typelivro digital-
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