dc.contributorUniv Tecnol Pereira
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:29:01Z
dc.date.available2014-05-20T13:29:01Z
dc.date.created2014-05-20T13:29:01Z
dc.date.issued2004-05-01
dc.identifierIEEE Transactions on Power Systems. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 19, n. 2, p. 735-744, 2004.
dc.identifier0885-8950
dc.identifierhttp://hdl.handle.net/11449/9732
dc.identifier10.1109/TPWRS.2004.825920
dc.identifierWOS:000221283300005
dc.description.abstractIn this paper, an efficient genetic algorithm (GA) is presented to solve the problem of multistage and coordinated transmission expansion planning. This is a mixed integer nonlinear programming problem, difficult for systems of medium and large size and high complexity. The GA presented has a set of specialized genetic operators and an efficient form of generation of the initial population that finds high quality suboptimal topologies for large size and high complexity systems. In these systems, multistage and coordinated planning present a lower investment than static planning. Tests results are shown in one medium complexity system and one large size high complexity system.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relationIEEE Transactions on Power Systems
dc.relation5.255
dc.relation2,742
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectmultistage planning
dc.subjectoptimization
dc.subjectnetwork expansion planning
dc.subjectgenetic algorithms
dc.titleMultistage and coordinated planning of the expansion of transmission systems
dc.typeArtículos de revistas


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