An Effective Power Dispatch of Photovoltaic Generators in DC Networks via the Antlion Optimizer

This paper studies the problem regarding optimal power dispatch of photovoltaic (PV) distributed generators (DGs) in Direct Current (DC) grid-connected and standalone networks. The mathematical model employed considers reduction operating costs, energy losses, CO2 emissions as objective functions, it integrates all technical constraints implied by DC grids a scenario variable PV generation demand. As solution methodology, master–slave strategy was proposed, whose master stage employs Antlion Optimizer (ALO) for identifying values to be dispatched each PV-DG installed grid, whereas slave uses matrix hourly flow method based on successive approximations evaluate functions associated with proposed within iterative process ALO. Two test scenarios were considered: network that characteristics city Medellín, Antioquia, data from municipality Capurganá, Chocó, both them located Colombia. comparison methods, five continuous optimization methods used which specialized literature solve problems grids: crow search algorithm, particle swarm multiverse salp vortex algorithm. effectiveness evaluated terms solution, its repeatability, processing times, obtained best results respect grid types. simulation systems evidenced methodology regard short times analyzed.