A hybrid intelligent control based on DPC for grid-connected DFIG with a fixed switching frequency using MPPT strategy

In this paper Neuro-Fuzzy control for doubly fed induction generator (DFIG) based Direct power control with a fixed switching frequency is proposed for wind generation application using MPPT strategy. First, a mathematical model of the doubly-fed induction generator written in an appropriate d-q reference frame. In order to control the DFIG, active and reactive power controllers and space-vector modulation (SVM) are combined to replace the hysteresis controllers used in the original DPC drive, a control law is synthesized using PID controllers. The performance of Neuro-Fuzzy control which is based on the DPC algorithm are investigated and compared to those obtained from the PID controller. Results obtained in Matlab/Simulink® environment show that the Neuro-fuzzy controller is more robust by using robustness test, superior dynamic performance for the high performance drive applications.