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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/129807
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dc.contributor.authorTejada, Diego-
dc.contributor.authorLopez-Lezama, Jesus M.-
dc.contributor.authorRider, Marcos J.-
dc.contributor.authorVinasco, Guillermo-
dc.date.accessioned2015-10-22T07:12:00Z-
dc.date.accessioned2016-10-25T21:16:32Z-
dc.date.available2015-10-22T07:12:00Z-
dc.date.available2016-10-25T21:16:32Z-
dc.date.issued2015-07-01-
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0142061515000277-
dc.identifier.citationInternational Journal Of Electrical Power &energy Systems, v. 69, p. 213-221, 2015.-
dc.identifier.issn0142-0615-
dc.identifier.urihttp://hdl.handle.net/11449/129807-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/129807-
dc.description.abstractTransmission expansion planning (TEP) is a classic problem in electric power systems. In current optimization models used to approach the TEP problem, new transmission lines and two-winding transformers are commonly used as the only candidate solutions. However, in practice, planners have resorted to non-conventional solutions such as network reconfiguration and/or repowering of existing network assets (lines or transformers). These types of non-conventional solutions are currently not included in the classic mathematical models of the TEP problem. This paper presents the modeling of necessary equations, using linear expressions, in order to include non-conventional candidate solutions in the disjunctive linear model of the TEP problem. The resulting model is a mixed integer linear programming problem, which guarantees convergence to the optimal solution by means of available classical optimization tools. The proposed model is implemented in the AMPL modeling language and is solved using CPLEX optimizer. The Garver test system, IEEE 24-busbar system, and a Colombian system are used to demonstrate that the utilization of non-conventional candidate solutions can reduce investment costs of the TEP problem. (C) 2015 Elsevier Ltd. All rights reserved.en
dc.description.sponsorshipSostenibilidad Programme of the University of Antioquia-
dc.format.extent213-221-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectCombinatorial optimizationen
dc.subjectMixed binary linear programmingen
dc.subjectNetwork reconfigurationen
dc.subjectTransmission network expansion planningen
dc.subjectRepowering assetsen
dc.titleTransmission network expansion planning considering repowering and reconfigurationen
dc.typeoutro-
dc.contributor.institutionXM SA-
dc.contributor.institutionUniv Antioquia UdeA-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionInterconex Elect SA ISA-
dc.description.affiliationXM SA, Medellin, Colombia-
dc.description.affiliationUniv Antioquia UdeA, Medellin, Colombia-
dc.description.affiliationUniv Estadual Paulista UNESP, Sao Paulo, Brazil-
dc.description.affiliationInterconex Elect SA ISA, Medellin, Colombia-
dc.description.affiliationUnespUniv Estadual Paulista UNESP, Sao Paulo, Brazil-
dc.identifier.doihttp://dx.doi.org/10.1016/j.ijepes.2015.01.008-
dc.identifier.wosWOS:000351251200024-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofInternational Journal Of Electrical Power &energy Systems-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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