MPPT for photovoltaic conversion systems using genetic algorithm and robust control

This paper proposes an algorithm of maximum power point tracking (MPPT) applied for photovoltaic (PV) power generation systems. The strategy of this algorithm considers the value of short circuit current to generate the current at the maximum power. In this work, the current reference is generated by genetic algorithm (GA). In this way, short-circuit current measurements are not necessary, thus overcoming the reduction in output that result. A robust control law using Linear Matrix Inequality (LMI) tools is developed to track the current reference at the optimum operating point of the PV-panel, in the sense of the MPPT algorithm. The performances of the proposed approach are ensured in simulation, using real profiles of irradiance and temperature measured on platform.