Optimal reactive power flow via the modified barrier Lagrangian function approach

dc.contributor.authorde Sousa, V. A.
dc.contributor.authorBaptista, Edméa Cássia [UNESP]
dc.contributor.authorda Costa, G. R. M.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:26:35Z
dc.date.available2014-05-20T13:26:35Z
dc.date.issued2012-03-01
dc.description.abstractA new approach called the Modified Barrier Lagrangian Function (MBLF) to solve the Optimal Reactive Power Flow problem is presented. In this approach, the inequality constraints are treated by the Modified Barrier Function (MBF) method, which has a finite convergence property: i.e. the optimal solution in the MBF method can actually be in the bound of the feasible set. Hence, the inequality constraints can be precisely equal to zero. Another property of the MBF method is that the barrier parameter does not need to be driven to zero to attain the solution. Therefore, the conditioning of the involved Hessian matrix is greatly enhanced. In order to show this, a comparative analysis of the numeric conditioning of the Hessian matrix of the MBLF approach, by the decomposition in singular values, is carried out. The feasibility of the proposed approach is also demonstrated with comparative tests to Interior Point Method (IPM) using various IEEE test systems and two networks derived from Brazilian generation/transmission system. The results show that the MBLF method is computationally more attractive than the IPM in terms of speed, number of iterations and numerical conditioning. (C) 2011 Elsevier B.V. All rights reserved.en
dc.description.affiliationUniv São Paulo, Dept Elect Engn, Engn Sch São Carlos, 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.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent159-164
dc.identifierhttp://dx.doi.org/10.1016/j.epsr.2011.11.001
dc.identifier.citationElectric Power Systems Research. Lausanne: Elsevier B.V. Sa, v. 84, n. 1, p. 159-164, 2012.
dc.identifier.doi10.1016/j.epsr.2011.11.001
dc.identifier.issn0378-7796
dc.identifier.lattes8479687404526958
dc.identifier.orcid0000-0002-5642-8925
dc.identifier.urihttp://hdl.handle.net/11449/8597
dc.identifier.wosWOS:000300484600018
dc.language.isoeng
dc.publisherElsevier B.V. Sa
dc.relation.ispartofElectric Power Systems Research
dc.relation.ispartofjcr2.856
dc.relation.ispartofsjr1,048
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectModified barrier functionen
dc.subjectInterior point methoden
dc.subjectNonlinear programmingen
dc.subjectOptimal power flowen
dc.titleOptimal reactive power flow via the modified barrier Lagrangian function approachen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V. Sa
unesp.author.lattes8479687404526958[2]
unesp.author.orcid0000-0002-5642-8925[2]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
unesp.departmentMatemática - FCpt

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