Design & Evaluation of Various MPPT methods for Solar PV

PV systems need to incorporate the Maximum Power Point Tracking System (MPPT) to optimize solar cell efficiency. To achieve the highest possible voltage output from PV modules in different climates, various strategies have been proposed. Among these, the Perturb & Observe (P&O) algorithm is a notable technique for maximum power point tracking. A model consisting of a PV module connected to a DC to DC step-up converter was used in this study. The performance of the PV system was evaluated under varying sun radiation and temperature conditions. Simulation results demonstrated the successful and accurate tracking of maximum power across all test scenarios using the maximum power tracker. The proposed method was found to have higher efficiency and better performance than traditional methods such as perturbation and observation, as evidenced by various operating parameters including tracking efficiency and response time. The P&O method measures the voltage, current, and power of the module and employs a fuzzy logic-based MPPT controller to step up the voltage. When there are variations in the voltage and current of the PV array, the proposed method uses fuzzy logic-based control (FLC) to issue control commands to the output step-up converter. The MATLAB/SIMULINK software was used to represent the Fuzzy Logic based MPPT controller for the PV module.