Classical & Fuzzy Control of DFIG-Based Wind Turbine.

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.