Comparing bisection numerical algorithm with fractional short circuit current and open circuit voltage methods for MPPT photovoltaic systems

The maximum power produced by a photovoltaic (PV) system varies according to the variation in the solar irradiance and temperature. Maximum power point tracking (MPPT) algorithms are implemented to extract maximum power from PV system. This paper presents a bisection numerical algorithm (BNA) based MPPT, and it compares the algorithm's tracking accuracy and performance to Fractional Short-Circuit Current (FSCC) and Fractional Open Circuit Voltage (FOCV) methods. This comparison uses the same DC-DC boost converter, PI controller, and load to examine the tracking accuracy for each method. The mathematical model for the PV system is developed using a single diode model, and it is implemented in Matlab/Simulink environment to examine each method. Simulation results for different solar irradiations are presented. The results show that the BNA has the best maximum power tracking accuracy in comparison with the FSCC and FOCV methods.