Multi Objective Evolutionary Algorithm Applied to the Optimal Power Flow Problem

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dc.contributor.authorAmorim, E. A.
dc.contributor.authorHashimoto, S. H. M.
dc.contributor.authorLima, F. G. M.
dc.contributor.authorMantovani, J. R. S. [UNESP]
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:29:21Z
dc.date.available2014-05-20T13:29:21Z
dc.date.issued2010-06-01
dc.description.abstractThis work presents the application of a multiobjective evolutionary algorithm (MOEA) for optimal power flow (OPF) solution. The OPF is modeled as a constrained nonlinear optimization problem, non-convex of large-scale, with continuous and discrete variables. The violated inequality constraints are treated as objective function of the problem. This strategy allows attending the physical and operational restrictions without compromise the quality of the found solutions. The developed MOEA is based on the theory of Pareto and employs a diversity-preserving mechanism to overcome the premature convergence of algorithm and local optimal solutions. Fuzzy set theory is employed to extract the best compromises of the Pareto set. Results for the IEEE-30, RTS-96 and IEEE-354 test systems are presents to validate the efficiency of proposed model and solution technique.en
dc.description.affiliationUniv Fed Mato Grosso UFMS, Depto Engn Eletr, Campo Grande, MS, Brazil
dc.description.affiliationUNESP, Depto Engn Eletr, Ilha Solteira, SP, Brazil
dc.description.affiliationUnespUNESP, Depto Engn Eletr, Ilha Solteira, SP, Brazil
dc.format.extent236-244
dc.identifierhttp://dx.doi.org/10.1109/TLA.2010.5538398
dc.identifier.citationIEEE Latin America Transactions. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc, v. 8, n. 3, p. 236-244, 2010.
dc.identifier.doi10.1109/TLA.2010.5538398
dc.identifier.fileWOS000283584700006.pdf
dc.identifier.issn1548-0992
dc.identifier.lattes0614021283361265
dc.identifier.urihttp://hdl.handle.net/11449/9885
dc.identifier.wosWOS:000283584700006
dc.language.isopor
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Latin America Transactions
dc.relation.ispartofjcr0.502
dc.relation.ispartofsjr0,253
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectMultiobjective Evolutionary Algorithmen
dc.subjectOptimal Power Flowen
dc.subjectMultiobjective Optimizationen
dc.titleMulti Objective Evolutionary Algorithm Applied to the Optimal Power Flow Problemen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/authors/open_access.html
dcterms.rightsHolderIEEE-Inst Electrical Electronics Engineers Inc
unesp.author.lattes0614021283361265
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt

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Artigos - Engenharia Elétrica - FEIS