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.

Predictive Control for a Single-Phase to Three-Phase Converter with Two-Parallel Single-Phase Rectifiers

“…The future switch positions are obtained by minimizing of cost function, next step the optimal switch position is directly applied without a modulation stage [19]- [23]. The FCS-MPC can be used for different systems, for example, [24] presents the use of FCS-MPC for control of DFIG-based wind power generation systems, [25] for a three-level neutralpoint-clamped (NPC) converter, [26] five-phase and six-phase machine, etc.…”