RESTAURACIóN DE SERVICIO MULTIOBJETIVO EN REDES DE DISTRIBUCIóN UTILIZANDO NSGA-II

a model to solve the service restoration problem in medium voltage distribution networks is developed in this work. the algorithm was developed in matlab and is able to find a set of topologies that minimize two objectives under the concept of pareto dominance. the search of efficient solutions is attained using the evolutive multiobjective optimization technique called nsga-ii together with a powerful codification strategy and genetic operators specially developed for the configuration of the electric network. the main results of this work focused on the ability of the algorithm to find the set of efficient solutions and reduced simulation time. this tool enables system dispatchers to make quick decisions, even under conditions of multiple failures in the network.