Tracking power photovoltaic system with a fuzzy logic control strategy

Photovoltaic generation is the technique which uses photovoltaic cell to convert solar energy to electric energy. Nowadays, PV generation is developing increasingly fast as a renewable energy source. However, the disadvantage is that PV generation is intermittent for depending on weather conditions. This paper proposes an intelligent control method for the maximum power point tracking (MPPT) of a photovoltaic system under variable temperature and solar radiation conditions. This method uses a fuzzy logic controller applied to a DC-DC boost converter device. A photovoltaic system including a solar panel, a DC-DC converter, a Fuzzy MPP tracker and a resistive load is modeled and simulated. Finally performance comparison between fuzzy logic controller and Perturb and Observe method has been carried out which has shown the effectiveness of fuzzy logic controller to draw much energy and fast response against change in working conditions.