Finite-Set Model Predictive Direct Power Control for DFIG with Reduced Number of Voltage Vectors

Abstract


 This paper proposes a Simplified Finite-Set Model Predictive Power Controller (MPPC) to improve the performance of the Doubly-Fed Induction Generator (DFIG). The MPPC is implemented to regulate the stator active and reactive powers of DFIG, minimizing the error between them and their references, with an optimized null vector selection and a reduced number of active vectors, to decrease the computational burden. This reduction is applied in a two-level converter, reducing the test to 4 or 2 active vectors. Simulations and laboratory experiments were performed, showing results for a 0.56 kW DFIG. Finally, it was verified that the proposed system can maintain the stator powers at a reference.