Publication

Abstract : In this paper a Battery Energy Storage System which is solar powered is presented. The solar power is given to a buck converter and the battery is charged from the buck converter. This battery can be used in electric vehicles. Solar power is intermittent in nature. Therefore, Maximum Power Point Tracking is used to vary the operating point for maximum utilization of solar energy. There are many techniques for tracking maximum power of Photovoltaic systems. In this work, four MPPT algorithms based on Artificial Neural Network, constant voltage, Look-Up Table and perturb & observe method are considered for solar powered BESS. The simulation studies are carried out by considering the varying irradiance. The irradiance was varied from 1000 W/m2 - 500 W/m2. The dynamic performance of these MPPT algorithms was analyzed and compared. ANN based MPPT is found to be more efficient than other three algorithms for solar powered BESS.