Abstract:
This thesis investigates the flux-oriented control of active and reactive powers of a
Doubly Fed Induction Generator (DFIG) based wind turbine to enhance performance and
efficiency. The study begins with a review of wind energy conversion systems, covering
turbine aerodynamics, mechanical modeling, and variable speed control techniques.
As a first step, the core research focuses on modeling and controlling the DFIG using
traditional vector control methods with Proportional-Integral (PI) controllers. The
limitations of PI controllers, particularly in handling transient states and parametric variations,
are identified. To address these challenges, the study proposes, in the next step,
an advanced control strategy based on Fuzzy Logic Control (FLC).
Additionally, maximum power point tracking (MPPT) is evaluated for both PI and
FLC to further optimize the energy conversion process. Simulation results in MATLAB/
SIMULINK environment demonstrate that FLC significantly improves response
time, regulation accuracy, and robustness compared to classical PI control.
The FLC-based approach achieves faster dynamic response and better tracking of reference
signals, enhancing the overall efficiency of the wind energy system.
The findings highlight the potential of control techniques in optimizing DFIG-based
wind turbines. providing a robust framework for improving the efficiency and reliability
of renewable energy generation.
