Simplified finite control set model predictive control (FCS-MPC) with extended voltage vectors for grid connected converters

This paper proposes a simplified finite control set model predictive control (FCS-MPC) with extended voltage vectors for two-level three-phase grid-connected converters. The proposed algorithm uses thirty-eight voltage vectors (eight real voltage vectors and thirty virtual voltage vectors) for the prediction process to reduce the ripple in the grid current. However, the inclusion of such high number of voltage vectors can introduce unacceptable computation delay which can affect the control performances. To solve this issue, the proposed approach utilizes a pre-selection scheme along with a simplified model predictive control approach, which can limit the prediction process to only twelve of the thirty eight voltage vectors during a sampling interval. Simulation results from Matlab-Simulink environment show that the proposed method retains the effectiveness of the full thirty-eight voltage-vector approach, while the current ripple is not adversely affected and the computation delay is accordingly reduced.