dc.creatorGonzalez, JFV
dc.creatorLyra, C
dc.creatorUsberti, FL
dc.date2012
dc.dateOCT 1
dc.date2014-07-30T13:42:38Z
dc.date2015-11-26T16:31:26Z
dc.date2014-07-30T13:42:38Z
dc.date2015-11-26T16:31:26Z
dc.date.accessioned2018-03-28T23:12:29Z
dc.date.available2018-03-28T23:12:29Z
dc.identifierEuropean Journal Of Operational Research. Elsevier Science Bv, v. 222, n. 1, n. 149, n. 156, 2012.
dc.identifier0377-2217
dc.identifierWOS:000305862500015
dc.identifier10.1016/j.ejor.2012.03.042
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/53642
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/53642
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1270211
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionAllocation of shunt capacitor banks on radial electric power distribution networks allow reduction of energy losses and aggregated benefits. Four decades ago Duran proposed the use of dynamic programming to find optimal capacitor placement on these networks; however, with the restricting assumption of single-ended networks, which precluded its application to real capacitor allocation problems. Subsequently heuristic methods prevailed in the capacitor allocation literature. Here the Extended Dynamic Programming Approach (EDP) lifts Duran's restricting assumption; a richer definition of state and the projection of multidimensional informations into equivalent one-dimensional representations are the supporting concepts. In addition to allow consideration of multi-ended networks, EDP deals with other requirements of capacitor allocation studies, including the use of both fixed and switched capacitors and representation of voltage drops along the networks. When switched capacitors are considered the optimization procedure also solves the capacitor control problem, obtaining the best tap adjustments for them. Case studies with real scale distribution networks put into perspective the benefits of the methodology; EDP has the appeal of providing global optimal solutions with pseudo-polynomial computational complexity in the worst-case, and with linear complexity for practical applications. (C) 2012 Elsevier B.V. All rights reserved.
dc.description222
dc.description1
dc.description149
dc.description156
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationEuropean Journal Of Operational Research
dc.relationEur. J. Oper. Res.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectOR in energy
dc.subjectDynamic programming
dc.subjectPower distribution networks
dc.subjectOptimal capacitor placement
dc.subjectReduction of energy losses
dc.subjectRadial-distribution Networks
dc.subjectDistribution-systems
dc.subjectDistribution Feeders
dc.subjectGenetic Algorithm
dc.subjectShunt Capacitors
dc.subjectLoss Reduction
dc.subjectReconfiguration
dc.subjectDesign
dc.subjectLocation
dc.subjectSize
dc.titleA pseudo-polynomial algorithm for optimal capacitor placement on electric power distribution networks
dc.typeArtículos de revistas


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