In this paper is analyzed a stand-alone solar-wind hybrid system with energy storage in batteries installed on a farm in Romania. Because, after following the system operation, was discovered that the energy demand is not fully covered, two solutions were proposed. The optimization of the system was performed using iHoga, which is a simulation and optimization software based on genetic algorithms. A series of simulations have been conducted, with different configurations of the system, finally obtaining two optimal solutions for the hybrid system. The first solution proposes to increase the number of photovoltaic panels by 10 panels of the same type - System A, and the second solution proposes the installation of a generator - System B. Analyzing the two solutions was noted that in case of the System A, even if the initial investment is higher and produces a lot of excess energy, the total cost over the lifetime of the system is lower then in case of System B. Also, by comparing the two solutions, can be observed a high increase of carbon dioxide emissions in case of System B.

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