Maximum Power Point Tracking Using Model Predictive Control

This The development of photovoltaic (PV) systems has increased as a direct consequence of the growing need for electricity on a global scale. Because of the non-linear nature of PV systems, specialized procedures are required to maximize the amount of energy that can be produced. To solve this problem, this study proposed a straightforward, yet highly effective Fuzzy model predictive control (FMPC). The system model is utilized to estimate the current, while the ideal operating point is discovered by a specific cost function. This method uses predictive equations to do away with the requirement for extra sensors. This study also presents a comparative analysis of the proposed fuzzy model predictive control (FMPC) with existing MPC techniques. Under rapidly changing atmospheric circumstances, the predictive control method offers both improved steady-state stability and faster dynamic reaction, demonstrating higher performance in an ideal system. MATLAB simulation results demonstrate the benefits of this Fuzzy Model Predictive Control.