Multi-Objective Optimal Model Predictive Control for Three-Level ANPC Grid-Connected Inverter

Abstract

The three-level active-neutral-point-clamped (ANPC) grid-connected inverter is a promising alternative for photovoltaic (PV) power generation, thanks to its capability of balancing the losses of power devices. This paper proposes a multi-objective optimal model predictive control (MO2-MPC) algorithm for three-level ANPC grid-connected inverter, and thus the number of rolling optimizations of the model can be reduced by eliminating the switching states of the three-level output that violate the unit level jump principle. The power loss of each switch was calculated in real time by the linear fitting of the turn-on and turn-off losses of the switches, and the imbalanced losses were added to the target cost function to minimize imbalance losses. Finally, the proposed control method was proved correct and effective through an experiments prototype.