dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2015-03-18T15:53:31Z
dc.date.available2015-03-18T15:53:31Z
dc.date.created2015-03-18T15:53:31Z
dc.date.issued2014-11-01
dc.identifierInternational Journal Of Electrical Power & Energy Systems. Oxford: Elsevier Sci Ltd, v. 62, p. 265-272, 2014.
dc.identifier0142-0615
dc.identifierhttp://hdl.handle.net/11449/116570
dc.identifier10.1016/j.ijepes.2014.04.048
dc.identifierWOS:000339601500029
dc.description.abstractThis paper presents a mixed-integer quadratically-constrained programming (MIQCP) model to solve the distribution system expansion planning (DSEP) problem. The DSEP model considers the construction/reinforcement of substations, the construction/reconductoring of circuits, the allocation of fixed capacitors banks and the radial topology modification. As the DSEP problem is a very complex mixed-integer non-linear programming problem, it is convenient to reformulate it like a MIQCP problem; it is demonstrated that the proposed formulation represents the steady-state operation of a radial distribution system. The proposed MIQCP model is a convex formulation, which allows to find the optimal solution using optimization solvers. Test systems of 23 and 54 nodes and one real distribution system of 136 nodes were used to show the efficiency of the proposed model in comparison with other DSEP models available in the specialized literature. (C) 2014 Elsevier Ltd. All rights reserved.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationInternational Journal Of Electrical Power & Energy Systems
dc.relation3.610
dc.relation1,276
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectDistribution system expansion planning
dc.subjectDistribution system optimization
dc.subjectMixed-integer quadratically-constrained programming
dc.titleA mixed-integer quadratically-constrained programming model for the distribution system expansion planning
dc.typeArtículos de revistas


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