2020-03-262020-03-262019Montoya O.D., Gil-González W. y Grisales-Noreña L.F. (2019) An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach. Ain Shams Engineering Journal20904479https://hdl.handle.net/20.500.12585/9246This paper addresses the classical problem of optimal location and sizing of distributed generators (DGs) in radial distribution networks by presenting a mixed-integer nonlinear programming (MINLP) model. To solve such model, we employ the General Algebraic Modeling System (GAMS) in conjunction with the BONMIN solver, presenting its characteristics in a tutorial style. To operate all the DGs, we assume they are dispatched with a unity power factor. Test systems with 33 and 69 buses are employed to validate the proposed solution methodology by comparing its results with multiple approaches previously reported in the specialized literature. A 27-node test system is also used for locating photovoltaic (PV) sources considering the power capacity of the Caribbean region in Colombia during a typical sunny day. Numerical results confirm the efficiency and accuracy of the MINLP model and its solution is validated through the GAMS package. © 2019 Ain Shams UniversityRecurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/article10.1016/j.asej.2019.08.011Distributed generationDistribution systemsGeneral algebraic modeling systemMixed-integer nonlinear programmingOptimal location and sizing of distributed generationAlgebraDistributed power generationInteger programmingLocationAlgebraic modelingDistributed generator (DGs)Distribution systemsMixed integer nonlinear programming modelsMixed-integer nonlinear programmingOptimal locationsRadial distribution networksSolution methodologyNonlinear programminginfo:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB569195641005719149364855791991200