dc.creatorMontoya O.D.
dc.creatorGarrido Arévalo, Víctor Manuel
dc.creatorGrisales-Noreña L.F.
dc.creatorGil-González W.
dc.creatorGarces A.
dc.creatorRamos-Paja C.A.
dc.date.accessioned2020-03-26T16:32:31Z
dc.date.available2020-03-26T16:32:31Z
dc.date.created2020-03-26T16:32:31Z
dc.date.issued2018
dc.identifier2018 IEEE 9th Power, Instrumentation and Measurement Meeting, EPIM 2018
dc.identifier9781538678428
dc.identifierhttps://hdl.handle.net/20.500.12585/8860
dc.identifier10.1109/EPIM.2018.8756492
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio UTB
dc.identifier56919564100
dc.identifier57210170020
dc.identifier55791991200
dc.identifier57191493648
dc.identifier36449223500
dc.identifier22836502400
dc.description.abstractThis paper addresses the problem of optimal location and sizing of distributed generators (DGs) in direct-current (dc) power grids by using a mixed-integer nonlinear programming (MINLP) formulation. The reduction of the power losses in all branches of the network are considered as the objective function; while the restrictions are the power balance, voltage regulation, maximum penetration and maximum distributed generation units available. The general algebraic modeling system (GAMS) is selected as nonlinear optimizing package to solve this problem; besides, a small numerical example of energy production is introduced to illustrate the usability of using GAMS. Finally, a 21-node dc grid with two ideal generators, and multiple constant power loads, is used as test system. © 2018 IEEE.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation14 November 2018 through 16 November 2018
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rightsAtribución-NoComercial 4.0 Internacional
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85069796375&doi=10.1109%2fEPIM.2018.8756492&partnerID=40&md5=9fa265a155cdfb8e650b5ac623b9caae
dc.source9th IEEE Power, Instrumentation and Measurement Meeting, EPIM 2018
dc.titleOptimal Location of DGs in DC Power Grids Using a MINLP Model Implemented in GAMS


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