Mixed-integer convex model for VAr expansion planning

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.creatorLópez, Julio César [UNESP]
dc.creatorMantovani, J. R. S. [UNESP]
dc.creatorContreras Sanz, Javier
dc.date2015-11-03T15:30:19Z
dc.date2015-11-03T15:30:19Z
dc.date2014-01-01
dc.date.accessioned2023-09-12T07:10:45Z
dc.date.available2023-09-12T07:10:45Z
dc.identifierhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6939057
dc.identifier2014 Ieee Pes General Meeting - Conference &exposition. New York: Ieee, p. 1-5, 2014.
dc.identifier1944-9925
dc.identifierhttp://hdl.handle.net/11449/130214
dc.identifierWOS:000349551501089
dc.identifier0614021283361265
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8779527
dc.descriptionThis paper presents a mixed-integer convex-optimization-based approach for optimum investment reactive power sources in transmission systems. Unlike some convex-optimization techniques for the reactive power planning solution, in the proposed approach the taps settings of under-load tap-changing of transformers are modeled as a mixed-integer linear set equations. Are also considered the continuous and discrete variables for the existing and new capacitive and reactive power sources. The problem is solved for three significant demand scenarios (low demand, average demand and peak demand). Numerical results are presented for the CIGRE-32 electric power system.
dc.descriptionUniversidad de Castilla - La Mancha Ciudad Real, Spain
dc.descriptionDepartment of Electrical Engineering S˜ao Paulo State University – UNESP Ilha Solteira, SP – Brazil
dc.format1-5
dc.languageeng
dc.publisherIeee
dc.relation2014 Ieee Pes General Meeting - Conference &exposition
dc.relation0,328
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectConvex
dc.subjectDemand scenarios
dc.subjectMixed-integer
dc.subjectReactive power planning
dc.subjectReactive power sources
dc.subjectTaps settings
dc.titleMixed-integer convex model for VAr expansion planning
dc.typeTrabalho apresentado em evento


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