Abstract
In this paper, a hybrid wind-solar microgrid with battery storage aimed to bolstering remote and rural economies in Mexico (Alamos, Sonora and Petatlan, Guerrero) is presented. A load demand profile based on local economic activities is proposed and the optimal system sizing is obtained using a genetic algorithm (GA) and particle swarm optimization (PSO), both programmed in MATLAB, minimizing the global cost, and analyzing the cost of energy. The results are compared with a grid extension showing that schemes are feasible, since they present good stability and a lower cost than the extension of distributed networks.
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