Cat Swarm Optimized PI Controller Design for Wind Energy-Based Switched Reluctance Generator

The ever-growing environmental concerns have led to a renewed interest in Renewable Energy Sources (RES), which
provide clean, abundant power for long-term sustainable development. Wind power gained particular attention because of its relative availability and low cost, mainly for grid applications. In these circumstances, for wind energy conversion systems, Switched Reluctance Generators (SRGs) are developed in this work, which make sense because of their resilience, wide speed range, ease of maintenance, and ability to function in challenging conditions. To manage the speed of SRG by integrating a Proportional Integral (PI) controller, which adjusts the output current of Bridge Resonant (BR) converters (n+1 diode and n+1 semiconductor system. The PWM rectifier is adopted for converting the AC-DC supply, and a PWM generator (Hysteresis controller) is implemented to regulate a Voltage Source Inverter (VSI) by creating switching pulses for the device by instantaneously comparing the grid current and the reference current. Furthermore, the Cat Swarm Optimization technique is
developed for tuning the PI controller, which boosts the performance and efficiency of the controller. Consequently, the grid synchronization is attained by the combined function of the PWM generator and three-phase Voltage Source Converter VSI with the PI controller. The proposed approach is executed in MATLAB, and a comparison with the traditional methods is carried out to show the method's proficiency. At last, the controller achieves tremendous performance for grid application in terms of low THD and settling time.