Transmission network expansion planning considering uncertainty in demand

dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:25:57Z
dc.date.available2014-05-20T15:25:57Z
dc.date.created2014-05-20T15:25:57Z
dc.date.issued2006-11-01
dc.identifierIEEE Transactions on Power Systems. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 21, n. 4, p. 1565-1573, 2006.
dc.identifier0885-8950
dc.identifierhttp://hdl.handle.net/11449/36264
dc.identifier10.1109/TPWRS.2006.881159
dc.identifierWOS:000241839700011
dc.description.abstractThis paper presents two mathematical models and one methodology to solve a transmission network expansion planning problem considering uncertainty in demand. The first model analyzed the uncertainty in the system as a whole; then, this model considers the uncertainty in the total demand of the power system. The second one analyzed the uncertainty in each load bus individually. The methodology used to solve the problem, finds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The models presented are solved using a specialized genetic algorithm. The results obtained for several known systems from literature show that cheaper plans can be found satisfying the uncertainty in demand.
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.subjectdirect current (dc) model
dc.subjectgenetic algorithm
dc.subjectlong-term transmission network expansion planning
dc.subjectuncertainty in demand
dc.titleTransmission network expansion planning considering uncertainty in demand
dc.typeArtículos de revistas


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