Ubicación óptima de generación distribuida fotovoltaica en redes de distribución eléctrica empleando optimización metaheurística a través de un algoritmo genético

Abstract

In this work we elaborate an optimization proposal using a differential evolution algorithm, to optimally dimension and locate the distributed generation in a test network with the aim of minimizing the deviation of voltage, considering the restriction of the voltage level in each bar according to the local regulation. Taking the IEEE-33 system as a case study, various scenarios are proposed to verify the versatility and efficiency of the algorithm, considering the implementation of 3, 5 and 7 distributed generators, comparing the location and dimensioning by technical criteria against the recommendations made by the algorithm. It was possible to demonstrate that the greater the number of generating units connected to the network, whose dimension and location is calculated by the algorithm, the greater the optimization obtained in the voltage profiles by reducing potential deviations, with its consequent reduction in power losses overall system power.