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dc.contributor.authorMantovani, J. R S [UNESP]
dc.contributor.authorModesto, S. A G [UNESP]
dc.contributor.authorGarcia, A. V. [UNESP]
dc.date.accessioned2014-05-27T11:20:15Z
dc.date.available2014-05-27T11:20:15Z
dc.date.issued2001-05-01
dc.identifierhttp://dx.doi.org/10.1049/ip-gtd:20010214
dc.identifier.citationIEE Proceedings: Generation, Transmission and Distribution, v. 148, n. 3, p. 257-262, 2001.
dc.identifier.issn1350-2360
dc.identifier.urihttp://hdl.handle.net/11449/66502
dc.description.abstractA combined methodology consisting of successive linear programming (SLP) and a simple genetic algorithm (SGA) solves the reactive planning problem. The problem is divided into operating and planning subproblems; the operating subproblem, which is a nonlinear, ill-conditioned and nonconvex problem, consists of determining the voltage control and the adjustment of reactive sources. The planning subproblem consists of obtaining the optimal reactive source expansion considering operational, economical and physical characteristics of the system. SLP solves the optimal reactive dispatch problem related to real variables, while SGA is used to determine the necessary adjustments of both the binary and discrete variables existing in the modelling problem. Once the set of candidate busbars has been defined, the program implemented gives the location and size of the reactive sources needed, if any, to maintain the operating and security constraints.en
dc.format.extent257-262
dc.language.isoeng
dc.relation.ispartofIEE Proceedings: Generation, Transmission and Distribution
dc.sourceScopus
dc.subjectBusbars
dc.subjectElectric transformers
dc.subjectFunction evaluation
dc.subjectGenetic algorithms
dc.subjectLinear programming
dc.subjectLinearization
dc.subjectMathematical models
dc.subjectMatrix algebra
dc.subjectReactive power
dc.subjectVoltage control
dc.subjectOptimal reactive dispatch problem
dc.subjectOptimal reactive source expansion
dc.subjectReactive planning
dc.subjectSuccessive linear programming
dc.subjectElectric power systems
dc.titleVAr planning using genetic algorithm and linear programmingen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationElectrical Engineering Department São Paulo State University, CP 031, 15385-000 Ilha Solteira, SP
dc.description.affiliationUnespElectrical Engineering Department São Paulo State University, CP 031, 15385-000 Ilha Solteira, SP
dc.identifier.doi10.1049/ip-gtd:20010214
dc.rights.accessRightsAcesso restrito
dc.identifier.scopus2-s2.0-0035337666
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, Ilha Solteirapt
dc.identifier.lattes0614021283361265
unesp.author.lattes0614021283361265
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