Juan M. Ramirez and Victor M. Sanchez
wind farms, Photovoltaic Energy, Renewable Energy
This paper is aimed to estimate the cost/sizing relationship of a hybrid energy solar-wind-diesel generator system using solar irradiation and wind data. The hybrid energy system uses the hydrogen as storage vector, so that it employs a fuel cell and electrolyzer for such task. The formulation is made up as a multi-objective optimization problem, solved by a genetic algorithm. The optimizer calculates the best system configuration to meet the commitment between the energy supply reliability and cost. Moreover, the optimizer allows an easy way for optimal sizing without depth knowledge of the relationship between the hybrid system costs and the generated power. Results are presented on a domestic installation.
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