Finite Control Set Model Predictive Control for PV System Operating as a STATCOM

In this study, the Finite-Control-Set Model Predictive Control (FCS-MPC) technique to manage a photovoltaic (PV) system as a static var compensator (STATCOM) to regulate voltage and control reactive power is studied. The strategy predicts system behavior over a finite time horizon. It does this by discretizing control inputs and generating an optimal control sequence. A cost function that includes penalties for any deviation from the target voltage level and excessive reactive power injection is also established. The proposed FCS-MPC strategy is simulated for various scenarios, such as changes in the PV system output or changes in the load on the system. The results demonstrate a considerable improvement in voltage regulation using the proposed FCS-MPC strategy. To counter voltage dips resulting from variable loads, a PV system operating as a STATCOM is controlled to rectify and recover the voltage decrease. The effectiveness of the control strategy is validated through numerical simulations and control hardware-in-the-loop (C-HIL) experimental tests.