Optimized Switching States-Based Model Predictive Control for Grid-Connected Three-Level ANPC Inverter

This paper describes a new optimized switching states-based model predictive control (OSSB-MPC) strategy to control the grid current and balance the two dc-bus capacitor voltages simultaneously in a three-level active neutral-point clamped (3L-ANPC) inverter. The proposed control algorithm optimizes the switching states of the 3L-ANPC inverter based on the constraints of switching state transition, neutral point current path, and switch commutation. Therefore, the optimized switching states can reduce the control execution time required to compute the minimum cost function of the MPC algorithm by 80% compared to the conventional FCS-MPC. The performance of the proposed OSSB-MPC algorithm is experimentally verified with the controller hardware in the loop system.