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A Robust Maximum Power Point Tracking Based Model Predictive Control and Extended Kalman Filter for PV Systems

Maximum power point tracking (MPPT) is a very important issue in any photovoltaic (PV) system. This paper presents an MPPT using finite control set model predictive control (FCS-MPC), where the system under study is composed of a PV module, boost converter, and resistive load. The proposed MPPT technique not only reduces the required sensors by one but also eliminates the dependency of the control system on the load by using an extended Kalman filter (EKF), which greatly enhances the robustness and reliability of the MPPT based FCSMPC. Finally, the proposed MPPT technique is validated by simulation results under different radiation conditions and load variation.