Identification of internal parameters of a mono-crystalline photovoltaic cell models and experimental ascertainment

This paper presents two mathematical models of mono-crystalline solar photovoltaic (PV) cells: (i) the ideal model, and (ii) the single resistance model. An identification algorithm of internal parameters of photovoltaic cell using electrical characteristics provided by the manufacturer datasheet has been suggested. Several of these parameters are not always provided by the manufacturer. Moreover, influences and variation effects of the temperature and the effective irradiance level has been studied for the proposed models. Obtained simulations have been compared to those provided by JAC M5SF-2 cell's datasheet. These models have been implemented on Matlab-Simulink and Simpower softwares. Then, the effectiveness of the proposed models has been validated against an experimentally tests under real operating conditions. The setup is based on some sensors: current, voltage, temperature and light sensors. Two Arduino Boards are used to acquire data from sensors and send them to the computer. These results show an acceptable correspondence with the data issued by the manufacturer. Identification algorithms, based on the rated data given by the manufacturer, can thus, be very useful for researchers or engineers to quickly and easily determine the internal parameters of any photovoltaic cell.