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dc.contributor.authorSoler, Edilaine Martins [UNESP]
dc.contributor.authorde Sousa, Vanusa Alves
dc.contributor.authorda Costa, Geraldo R. M.
dc.identifier.citationEuropean Journal of Operational Research. Amsterdam: Elsevier B.V., v. 222, n. 3, p. 616-622, 2012.
dc.description.abstractThe aim of solving the Optimal Power Flow problem is to determine the optimal state of an electric power transmission system, that is, the voltage magnitude and phase angles and the tap ratios of the transformers that optimize the performance of a given system, while satisfying its physical and operating constraints. The Optimal Power Flow problem is modeled as a large-scale mixed-discrete nonlinear programming problem. This paper proposes a method for handling the discrete variables of the Optimal Power Flow problem. A penalty function is presented. Due to the inclusion of the penalty function into the objective function, a sequence of nonlinear programming problems with only continuous variables is obtained and the solutions of these problems converge to a solution of the mixed problem. The obtained nonlinear programming problems are solved by a Primal-Dual Logarithmic-Barrier Method. Numerical tests using the IEEE 14, 30, 118 and 300-Bus test systems indicate that the method is efficient. (C) 2012 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.publisherElsevier B.V.
dc.relation.ispartofEuropean Journal of Operational Research
dc.sourceWeb of Science
dc.subjectOR in energyen
dc.subjectOptimal Power Flowen
dc.subjectInterior point methodsen
dc.subjectDiscrete variablesen
dc.subjectNonlinear programmingen
dc.titleA modified Primal-Dual Logarithmic-Barrier Method for solving the Optimal Power Flow problem with discrete and continuous control variablesen
dcterms.rightsHolderElsevier B.V.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.description.affiliationUniv Estadual Paulista, UNESP, Fac Ciencias, Dept Matemat, BR-17033360 Bauru, SP, Brazil
dc.description.affiliationUniversidade Federal de São Carlos (UFSCar), CCET, Curso Engn Eletr, BR-13565905 São Carlos, SP, Brazil
dc.description.affiliationUniv São Paulo, Dept Engn Eletr, LASEE, EESC, BR-13566590 São Carlos, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Fac Ciencias, Dept Matemat, BR-17033360 Bauru, SP, Brazil
dc.rights.accessRightsAcesso restrito
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
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