Application of particle swarm optimization to optimal power systems

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorEsmin, Ahmed Ali Abdalla-
Autor(es): dc.creatorLambert-Torres, Germano-
Data de aceite: dc.date.accessioned2026-02-09T11:58:58Z-
Data de disponibilização: dc.date.available2026-02-09T11:58:58Z-
Data de envio: dc.date.issued2016-08-02-
Data de envio: dc.date.issued2016-08-02-
Data de envio: dc.date.issued2011-05-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/11487-
Fonte completa do material: dc.identifierhttp://www.ijicic.org/ijicic-10-12075.pdf-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1151768-
Descrição: dc.descriptionThis paper presents the particle swarm optimization (PSO) algorithm for solving the optimal distribution system reconfiguration problem for power loss minimization. The proposed methodology determines control variable settings, such as the number of shunts to be switched, for real power loss minimization in the transmission system. The problem is formulated as a nonlinear optimization problem. The PSO is a relatively new and powerful intelligent evolution algorithm for solving optimization problems. It is a population-based approach. The proposed approach employs the PSO algorithm for the optimal setting of optimal power flow (OPF) based on loss minimization (LM) function. The proposed approach has been examined and tested on standard IEEE 14, IEEE 30 and IEEE 118 bus test systems. The obtained results are compared with those using other techniques in a previous work to evaluate the performance.-
Idioma: dc.languageen-
Publicador: dc.publisherICIC International-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceInternational Journal of Innovative Computing, Information and Control-
Palavras-chave: dc.subjectComputer algorithms-
Palavras-chave: dc.subjectEvolutionary algorithms-
Palavras-chave: dc.subjectNonlinear optimization-
Palavras-chave: dc.subjectBrownouts-
Palavras-chave: dc.subjectCapacitors-
Palavras-chave: dc.subjectOptimal power flow-
Palavras-chave: dc.subjectLoss reduction-
Palavras-chave: dc.subjectParticle swarm optimization (PSO)-
Palavras-chave: dc.subjectAlgoritmos computacionais-
Palavras-chave: dc.subjectAlgoritmos evolutivos-
Palavras-chave: dc.subjectOtimização não linear-
Palavras-chave: dc.subjectEnergia elétrica – Racionamento-
Palavras-chave: dc.subjectCapacitores-
Palavras-chave: dc.subjectEnxame de partículas-
Título: dc.titleApplication of particle swarm optimization to optimal power systems-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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