2020-03-262020-03-262019Electric Power Systems Research; Vol. 169, pp. 18-2303787796https://hdl.handle.net/20.500.12585/9156In this paper, we address the optimal power flow problem in dc grids (OPF-DC). Our approach is based on sequential quadratic programming which solves the problem associated with non-convexity of the model. We propose two different linearizations and compare them to a non-linear algorithm. The first model is a Newton-based linearization which takes the Jacobian of the power flow as a linearization for the optimization stage, and the second model uses the nodal currents as auxiliary variables to linearize over the inequality constraints. Simulation results in radial and meshed grids demonstrate the efficiency of the proposed methodology and allow finding the same solution given by the exact nonlinear representation of the OPF-DC problem. © 2018 Elsevier B.V.Recurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/article10.1016/j.epsr.2018.12.008Direct current power gridsLinearization via Newton–Raphson methodOptimal power flow problemQuadratic reformulationsVoltage-current formulationAcoustic generatorsConstraint theoryElectric load flowElectric power transmission networksLinearizationQuadratic programmingDirect current powerOptimal power flow problemQuadratic reformulationsRaphson methodsVoltage currentProblem solvinginfo:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB569195641005719149364836449223500