Abstract
In recent years, the research and development for the photovoltaic (PV) energy system are making rapidly progress around the world. In particular, the maximum power point tracking (MPPT) control attracts lots of attention, and our research group has already proposed the MPPT control method which use the fuzzy theory. However, if a small area of PV array is shaded, the characteristics and the maximum power point of PV array are changed, so the fuzzy control is difficult to extract the maximum power of PV array. To overcome this problem, this paper proposes a new control method using a fuzzy neural network (FNN) instead of fuzzy control. The FNN can be trained so that the MPPT controller is able to extract the maximum power under shading of small area of PV array. The usefulness and validity of the proposed control method are illustrated through MPPT control of PV array.
