Enhanced MPPT technique employing fuzzy logic control for variable-speed wind turbines

This study presents the control methods applied to the wind power generating system that is linked to a dual fed induction generator. The main objective of this work is to evaluate the efficacy of a maximum power point tracking technique based on fuzzy logic concepts. The suggested methodology is utilized to ascertain the doubly fed induction generator’s electromagnetic torque, hence enabling the computation of the optimal mechanical turbine speed. The paper further explores the use of the indirect field-oriented control method to dynamically regulate both active and reactive power derived from the rotor voltage-source converter. This selection is not arbitrary; instead, it is grounded in the fact that the machine is typically connected to a robust network characterized by constant voltage and frequency, resulting in a stable field in the generator's stator. The control law of indirect field-oriented is formulated using proportional and integral power and current controller in the rotor side converter. To assess the efficacy of the suggested approach, a simulation is performed in Matlab/Simulink environment to implement vector control for the dual fed induction generator that is coupled to a wind turbine model. The simulation results illustrate the effectiveness of the fuzzy logic control-based maximum power point tracking technique, indicating favorable system performances.