2020-03-262020-03-262018IEEE Latin America Transactions; Vol. 16, Núm. 8; pp. 2213-22201548-0992https://hdl.handle.net/20.500.12585/8874In this paper a mixed-integer non-linear programming formulation for optimal conductor selection in radial distribution networks is proposed. The objective function in this problem corresponds to the minimization of power losses and costs of investment in conductors. A typical set of constraints corresponding to the operative conditions in distribution systems, as power flow balance, voltage regulation, thermal capacity and telescopic conductors distribution, among others, are employed. Three different demand scenarios are considered to evaluate their impacts in the final conductor selection. The proposed mathematical model is solved using the general algebraic modeling system (GAMS) and DICOPT solver. Two radial distribution networks with 8 and 27 nodes, respectively, are employed to verify the general performance of the mathematical model proposed. © 2003-2012 IEEE.Recurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/article10.1109/TLA.2018.8528237Conductors selectionMixed-integer non-linear programming formulationMono-objective optimizationRadial distribution networksElectric load flowInteger programmingIon beamsVoltage regulatorsAlgebraic modelingConductor selectionsDistribution systemsMixed-integer nonlinear programmingObjective functionsObjective optimizationPower flow balanceRadial distribution networksNonlinear programminginfo:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB569195641003644922350056786626200