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dc.contributor.authorde Sousa, V. A.
dc.contributor.authorBaptista, Edméa Cássia [UNESP]
dc.contributor.authorda Costa, G. R. M.
dc.identifier.citationElectric Power Systems Research. Lausanne: Elsevier B.V. Sa, v. 79, n. 5, p. 803-808, 2009.
dc.description.abstractThis paper presents a new approach, predictor-corrector modified barrier approach (PCMBA), to minimize the active losses in power system planning studies. In the PCMBA, the inequality constraints are transformed into equalities by introducing positive auxiliary variables. which are perturbed by the barrier parameter, and treated by the modified barrier method. The first-order necessary conditions of the Lagrangian function are solved by predictor-corrector Newton's method. The perturbation of the auxiliary variables results in an expansion of the feasible set of the original problem, reaching the limits of the inequality constraints. The feasibility of the proposed approach is demonstrated using various IEEE test systems and a realistic power system of 2256-bus corresponding to the Brazilian South-Southeastern interconnected system. The results show that the utilization of the predictor-corrector method with the pure modified barrier approach accelerates the convergence of the problem in terms of the number of iterations and computational time. (C) 2008 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.publisherElsevier B.V. Sa
dc.relation.ispartofElectric Power Systems Research
dc.sourceWeb of Science
dc.subjectOptimal power flowen
dc.subjectModified barrier methoden
dc.subjectPerturbation of constraintsen
dc.subjectNewton's methoden
dc.titleLoss minimization by the predictor-corrector modified barrier approachen
dcterms.rightsHolderElsevier B.V. Sa
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.description.affiliationUniv São Paulo, Engn Sch São Carlos, Dept Elect Engn, BR-13566590 São Carlos, SP, Brazil
dc.description.affiliationSão Paulo State Univ UNESP, Dept Math, Bauru, Brazil
dc.description.affiliationUnespSão Paulo State Univ UNESP, Dept Math, Bauru, Brazil
dc.rights.accessRightsAcesso restrito
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
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