Advanced control and optimization techniques for DFIG wind energy systems: A case study using pelican algorithm and CTID-PID controller

This paper presents an enhanced strategy for control of Doubly Fed Induction Generator (DFIG) wind energy systems interconnected to the grid. The proposed approach focuses on optimizing the performance of both the grid side converter (GSC) and the rotor side converter (RSC) to increase the overall system efficiency and stability. The RSC is controlled using the pelican optimization technique, a nature-inspired algorithm that effectively tunes control parameters to achieve optimal dynamic response and minimize power losses, enabling maximum wind power capture while maintaining stability. For GSC control, a Cascaded Tilt Integral Derivative-Proportional Integral Derivative (CTID-PID) controller is implemented. This controller structure offers precise current regulation through an inner PI loop and effective DC link voltage management with enhanced transient response through an outer Tilt Integral Derivative (TID) loop. Comprehensive simulations were conducted for evaluating the performance of the implemented strategy of control under various conditions of operation. The results demonstrate significant improvements in system response, power quality, and grid stability compared to conventional control methods. The pelican optimization technique successfully minimized the transient oscillations and improved the robustness of the RSC, while the CTID-PID controller provided superior regulation of the GSC, resulting in enhanced voltage and frequency stability. This work accords to the field of renewable energy by presenting an effective control strategy for DFIG-based wind energy systems, highlighting the potential of advanced optimization and control techniques in improving the efficiency and liableness of wind power generation.