Robust dichotomy solution-based model predictive control for the grid-connected inverters with disturbance observer

This paper proposes a robust dichotomy-based model predictive control (DS-MPC) with fixed switching frequency for the grid-connected inverter (GCI). The proposed fast dichotomy algorithm can select and deduce optimal voltage vector dynamically through space plane. Therefore, DS-MPC strategy could ensure dynamic performance steady-state as well. Also, current robustness be improved disturbance observer (DO) based on extended Kalman filter (EKF). novelty of this is that response realized in weak grid, even if grid voltages are greatly distorted. Simulation hardware experiments validate effectiveness EKF approach.