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

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorInstituto Federal Do Paraná-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorInstituto Federal de Goiás-
Autor(es): dc.contributorUniversidade Tecnológica Federal Do Paraná-
Autor(es): dc.creatorMartins, Luis Fabiano B.-
Autor(es): dc.creatorGamino, Bruno R. [UNESP]-
Autor(es): dc.creatorDe Araujo, Percival B. [UNESP]-
Autor(es): dc.creatorFortes, Elenilson De V.-
Autor(es): dc.creatorMiotto, Ednei L.-
Data de aceite: dc.date.accessioned2022-08-04T22:06:20Z-
Data de disponibilização: dc.date.available2022-08-04T22:06:20Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2017-03-08-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/INDUSCON.2016.7874534-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/220824-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/220824-
Descrição: dc.descriptionIn 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.-
Descrição: dc.descriptionDepartment of Electromechanical Instituto Federal Do Paraná-
Descrição: dc.descriptionDepartment of Electrical Engineering Universidade Estadual Paulista-
Descrição: dc.descriptionDepartment of Academic Areas Instituto Federal de Goiás-
Descrição: dc.descriptionDepartment of Electronic Engineering Universidade Tecnológica Federal Do Paraná-
Descrição: dc.descriptionDepartment of Electrical Engineering Universidade Estadual Paulista-
Idioma: dc.languageen-
Relação: dc.relation2016 12th IEEE International Conference on Industry Applications, INDUSCON 2016-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectArtificial Bee Colony-
Palavras-chave: dc.subjectParticle Swarm Optimization-
Palavras-chave: dc.subjectPower Oscillation Damping-
Palavras-chave: dc.subjectPower Systems Stabilizers-
Palavras-chave: dc.subjectUnified Power Flow Controller-
Título: dc.titleComparison between Artificial Bee Colony and Particle Swarm Optimization algorithms in the tuning of PSS and UPFC-POD controllers-
Aparece nas coleções:Repositório Institucional - Unesp

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