A Comparative Study on Grid-connected Wind Turbine Using Fuzzy Logic and Conventional Controller

Wind energy capacity worldwide has experienced a rapid increase as the most rapidly developing renewable energy source. This project aims to examine the control system of wind turbines in installations that employ doubly-fed induction generators (DFIG). Due to the intricate nature of DFIG wind turbine control systems, a comprehensive study and research on various control strategies is necessary. To address this, a fuzzy logic controller has been developed to govern the system and its performance is compared to that of the traditional proportional integral (PI) controller. The simulation study utilizes the Simulink-SimPowerSystems toolbox with the fuzzy library in the MATLAB environment as the platform. The performance of the controller is then analyzed by observing the response of both controllers in steady state and dynamic conditions. Based on the obtained results, it can be concluded that the fuzzy PI controller performs comparably to the conventional PI controller. Further investigation and simulation are required to analyze the performance of different types of control systems and optimize the DFIG wind turbine system's overall performance.