An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems

This paper presents an enhanced maximum power point tracking (MPPT) technique based on the finite-control-set model predictive control (FCS-MPC) for photovoltaic (PV) applications. The system under study is composed of a PV source and resistive load, while a boost converter is used as an interfacing circuit between the PV generator and the resistive load. To control the converter, a current-based cost function is applied to get the optimal switching state. Further, the previous switching state is included in the cost function design to enhance the MPPT performance. For investigation, the proposed algorithm is compared with perturb and observe (P&O) method. Additionally, comparison between the proposed technique and the conventional FCS-MPC is performed at different atmospheric conditions.