Test and simulation of solar silicon battery tracking algorithm based on maximum power point

China Nowadays, solar photovoltaic energy applications has been penetrated into all areas of industrial and agricultural manufacturing in China. Due to fluctuation and randomness of solar radiation, solar efficiency was not fully utilized and operation devices were vulnerable to damages because of unstable power supplies. In this paper, regular silicon solar batteries were studied and the intelligent detection technology based on perturbation and observation was employed to track maximum power point of silicon solar battery and applied to the solar power equipment. By comparing the traditional method and the (maximum power point tracking) MPPT method, the experiment indicated that power outputs using MPPT method improved 11% compared with that by traditional method and suppressed power supply fluctuation effectively.