Recently, the PV system attracts a great deal of attention with the trend of electric power deregulation and environmental preservation. As a growing number of people has become more conscious of global environment than ever, PV systems are calling considerable attention as a leading renewable energy. However, the output density of the PV is low and the output of the PV depends highly on the insolation condition and the surface temperature of the PV array. In this thesis, a novel quick inference method of PV output is proposed to contribute to the improvement of the maximum power point tracking control (hereafter MPPT) response.
Inference of PV maximum power output was carried out utilizing multiple regression analysis. The research result reported in this thesis enables to obtain the maximum power of the PV system continuously during operation by insolation intensity and air temperature, which are relatively easy to monitor continuously on site. This proposed inference method gives a basis to a new concept of MPPT with quick response. The process and simulation result of the application of this inference method to the new concept of MPPT is also discussed in this thesis.