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dc.creatorEsmin, Ahmed Ali Abdalla-
dc.creatorLambert-Torres, Germano-
dc.date.accessioned2016-08-02T17:00:47Z-
dc.date.available2016-08-02T17:00:47Z-
dc.date.issued2011-05-
dc.identifier.citationESMIN A. A. A.; LAMBERT-TORRES, G. Application of particle swarm optimization to optimal power systems. International Journal of Innovative Computing, Information and Control, [S. l.], v. 8, n. 3A, p. 1705–1716, Mar. 2012.pt_BR
dc.identifier.urihttp://www.ijicic.org/ijicic-10-12075.pdfpt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/11487-
dc.description.abstractThis 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.pt_BR
dc.languageen_USpt_BR
dc.publisherICIC Internationalpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceInternational Journal of Innovative Computing, Information and Controlpt_BR
dc.subjectComputer algorithmspt_BR
dc.subjectEvolutionary algorithmspt_BR
dc.subjectNonlinear optimizationpt_BR
dc.subjectBrownoutspt_BR
dc.subjectCapacitorspt_BR
dc.subjectOptimal power flowpt_BR
dc.subjectLoss reductionpt_BR
dc.subjectParticle swarm optimization (PSO)pt_BR
dc.subjectAlgoritmos computacionaispt_BR
dc.subjectAlgoritmos evolutivospt_BR
dc.subjectOtimização não linearpt_BR
dc.subjectEnergia elétrica – Racionamentopt_BR
dc.subjectCapacitorespt_BR
dc.subjectEnxame de partículaspt_BR
dc.titleApplication of particle swarm optimization to optimal power systemspt_BR
dc.typeArtigopt_BR
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