A Mixed-Integer Conic Formulation for Optimal Placement and Dimensioning of DGs in DC Distribution Networks

The problem of the optimal placement and dimensioning constant power sources (i.e., distributed generators) in electrical direct current (DC) distribution networks has been addressed this research from point view convex optimization. original mixed-integer nonlinear programming (MINLP) model transformed into a conic equivalent via second-order cone programming, which produces MI-SOCP approximation. main advantage proposed is possibility ensuring global optimum finding using combination branch bound method to address integer part location sources) interior-point solve problem. Numerical results 21- 69-node test feeders demonstrated its efficiency robustness compared an exact MINLP available GAMS: case feeders, solvers are stuck local solutions, while enables solution. Additional simulations with daily load curves photovoltaic confirmed effectiveness methodology locating sizing generators DC grids; it also had low processing times since three only requires 233.16s, 3.7 faster than time required by SOCP absence sources.