Montoya, O.D.Gil-González, WalterHernández, Jesus C.Giral-Ramírez, Diego ArmandoMedina-Quesada, A.2020-11-052020-11-052020-08-272020-11-03Montoya, O.D.; Gil-González, W.; Hernández, J.C.; Giral-Ramírez, D.A.; Medina-Quesada, A. A Mixed-Integer Nonlinear Programming Model for Optimal Reconfiguration of DC Distribution Feeders. Energies 2020, 13, 4440.https://hdl.handle.net/20.500.12585/9559This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation. This MINLP model focuses on minimising the power losses in the distribution lines by reformulating the classical power balance equations through a branch-to-node incidence matrix. The general algebraic modelling system (GAMS) is chosen as a solution tool, showing in tutorial form the implementation of the proposed MINLP model in a 6-nodes test feeder with 10 candidate lines. The validation of the MINLP formulation is performed in two classical 10-nodes DC test feeders. These are typically used for power flow and optimal power flow analyses. Numerical results demonstrate that power losses are reduced by about 16% when the optimal reconfiguration plan is found. The numerical validations are made in the GAMS software licensed by Universidad Tecnológica de Bolívar.22 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/https://www.mdpi.com/1996-1073/13/17/4440info:eu-repo/semantics/article10.3390/en13174440Branch-to-node incidence matrixDirect current networksMixed-integer nonlinear programming modelGeneral algebraic modelling systemOptimal reconfiguration of distribution gridsinfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio Universidad Tecnológica de Bolívar