Model Predictive Control Strategy for NPC Converter-based Wind Turbine with Switching Frequency Control

Model predictive control (MPC) has been previously proposed as an effective solution to perform power control for neutral-point-clamped (NPC) converter-based wind turbine. However, the appropriate control of switching frequency and the tuning of the weighting factors in the cost function are challenging and the study of stability is intrinsically complicated. This paper presents a design guideline of MPC-based power control strategy for NPC converter-wind turbine with online tuning to optimize switching frequency. Furthermore, the dynamic response of the MPC system is evaluated at different operating points and grid impedances. The frequency-scanning technique is proposed to validate the stability of the system. Finally, simulation results are given to validate the proposed MPC strategy for NPC converter-based wind turbine.