This paper presents a novel direct power control (DPC) for doubly fed induction generator (DFIG), based on hybrid artificial intelligent with a fixed switching frequency for wind generation application via maximum power point tracking (MPPT) strategy. First, a mathematical model of the DFIG written in an appropriate d-q reference frame is established to investigate simulations. A control law based on direct power control is synthesized using only proportional integral derivative (PID) controllers. To improve the performance of our system, we propose model reference adaptive control (MRAC), type2 fuzzy logic control (T2FLC) and neuro-fuzzy control (NFC), to control rotor current. Results obtained using MATLAB/Simulink environment with/without MPPT strategy, are discussed in details; have shown high efficiency and high dynamics.

Keywords: Direct power control (DPC), Doubly fed induction generator (DFIG), Space vector modulation (SVM), Model reference adaptive control (MRAC), Type2 fuzzy logic control (T2FLC), Neuro fuzzy control (NFC), Maximum power point tracking (MPPT)