I will dfig control with model predictive controller on simulink

This project explores the application of Model Predictive Control (MPC) to optimize Doubly-fed Induction Generators (DFIGs) in grid-connected wind turbine systems, addressing challenges posed by dynamic wind energy and bidirectional power flow. Leveraging MPC capabilities, the study aims to enhance efficiency and power quality, focusing on DFIG complexities like variable wind speeds and continuous grid synchronization. Research questions target effective MPC application, bidirectional power flow management, power quality improvement, and overall efficiency compared to conventional methods. The project also identifies research gaps, emphasizing the need for further exploration in areas like online function evaluation, torque ripple reduction, and optimization methods for MPC in DFIG systems. Experimental validation and theoretical assessments aim to contribute to more robust and efficient control strategies for renewable energy systems.