Doubly Fed Induction Generator with Multi-Vector Model Predictive Power Control

This paper presents a simple multi-vector model predictive power control (MV-MPPC) strategy for the rotor side converter (RSC) of a doubly fed induction generator (DFIG). In this strategy, the stator active and reactive power derivatives for the three vectors are estimated for the upcoming period and the duration time of these vectors is predicted according to a cost function. The objective of the cost function is to decrease the stator power errors. The proposed model predictive control is validated in Matlab/Simulink environment and in the laboratory for a 5 KW DFIG prototype. The simulation and experimental results showed that the proposed method has a fast dynamic response to the power and rotor speed changes and it has a constant switching frequency.