Logarithmic barrier-augmented Lagrangian function to the optimal power flow problem

dc.contributor.authorBaptista, E. C.
dc.contributor.authorBelati, E. A.
dc.contributor.authorda Costa, GRM
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:26:24Z
dc.date.available2014-05-20T15:26:24Z
dc.date.issued2005-09-01
dc.description.abstractThis paper presents a new approach to solve the Optimal Power Flow problem. This approach considers the application of logarithmic barrier method to voltage magnitude and tap-changing transformer variables and the other constraints are treated by augmented Lagrangian method. Numerical test results are presented, showing the effective performance of this algorithm. (C) 2005 Elsevier Ltd. All rights reserved.en
dc.description.affiliationUSP, BR-13566590 Sao Carlos, SP, Brazil
dc.description.affiliationUNESP, BR-17033360 Bauru, SP, Brazil
dc.description.affiliationUnespUNESP, BR-17033360 Bauru, SP, Brazil
dc.format.extent528-532
dc.identifierhttp://dx.doi.org/10.1016/j.ijepes.2005.06.004
dc.identifier.citationInternational Journal of Electrical Power & Energy Systems. Oxford: Elsevier B.V., v. 27, n. 7, p. 528-532, 2005.
dc.identifier.doi10.1016/j.ijepes.2005.06.004
dc.identifier.issn0142-0615
dc.identifier.urihttp://hdl.handle.net/11449/36575
dc.identifier.wosWOS:000231724800007
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofInternational Journal of Electrical Power & Energy Systems
dc.relation.ispartofjcr3.610
dc.relation.ispartofsjr1,276
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectprimal-dual logarithmic barrierpt
dc.subjectoptimization methodspt
dc.subjectreactive dispatchpt
dc.subjectnonlinear programmingpt
dc.titleLogarithmic barrier-augmented Lagrangian function to the optimal power flow problemen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.

Arquivos

Licença do Pacote
Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:

Coleções