2020-03-262020-03-2620182018 IEEE 9th Power, Instrumentation and Measurement Meeting, EPIM 20189781538678428https://hdl.handle.net/20.500.12585/8860This 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.Recurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObject10.1109/EPIM.2018.8756492Direct-current power gridsDistributed generators location and sizingGeneral algebraic modeling systemMixed-integer nonlinear programmingPower losses minimizationAlgebraDistributed computer systemsDistributed power generationInteger programmingLocationNonlinear programmingVoltage regulatorsAlgebraic modelingDirect current powerLocation and sizingsMixed-integer nonlinear programmingPower-lossesElectric power transmission networksinfo:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB569195641005721017002055791991200571914936483644922350022836502400