This paper dealt with the optimization of the performance of a photovoltaic\nmill system operating on the sun race. Depending on the characteristics of the\npowered load which is a DC motor driving a grain mill and on the weather\nconditions (temperature and illumination), we noted a very big difference\nbetween the potential maximum power and that actually transferred to the\nload. In order to improve the overall efficiency of the system, we use an adaptation\ncircuit consisting of a boost converter controlled by a numerical MPPT\n(Maximum Power Point Tracking) command. With the Perturb & Observe (P\n& O) algorithm, the MPPT control measure the photocurrent, the photo tension\nand the power released by the photovoltaic generator. From this result,\nthe MPPT control adjusts the duty cyclic of the converter to bring the system\nto the optimum operating point. Hence, using MATLAB/Simulink software,\nwe did the modeling and the simulation of the system which is composed by a\nPV generator, a boost converter, a Pulse Width Modulation and a DC motor.
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