Multiple-Vector-Based Model Predictive Direct Power Control with Controllable Switching Frequency for Doubly Fed Induction Generators

Model predictive direct power control (MPDPC) has gained significant attention in the control of doubly fed induction generator (DFIG) systems due to its intuitive concept, rapid response, and multi-objective optimization capabilities. However, its steady-state performance falls short of expectations, and switching frequency of the converter exhibits variability influenced by various factors, including operating points and system parameters. This paper proposes a Multiple-Vector-Based MPDPC scheme with controllable switching frequency. The enhancement of steady-state performance is achieved by employing two voltage vectors within specific control intervals. Furthermore, the objective of controlling the switching frequency is realized through the incorporation of a penalty term in the cost function. Simulation results validate the effectiveness of the proposed approach.