Hybrid-optimized PI controller integration for wind energy microgrids with high-speed SRG

Renewable energy resources (RES) are gaining popularity in distributed electrical systems, with high efficiency generator-based wind energy conversion systems (WECS) becoming increasingly prevalent. This study concentrates on deploying a Switching Reluctance Generator (SRG) within WECS tailored for wind power applications in microgrid settings. In this configuration, SRG is powered by a DC supply as its primary source of electrical power. To regulate the speed of SRG based on required reference speed, a Proportional Integral (PI) controller is integrated into system. The output current of Bridge Resonant (BR) converter, employing the topology of (n + 1) Semiconductor & (n + 1) Diode, is adjusted using the PI controller to achieve the desired speed. Additionally, a Pulse Width Modulation (PWM) rectifier, optimized with a hybrid Grasshopper Algorithm and Whale Optimization Algorithm (GOA-WOA)-optimized PI controller, is utilized for converting generator's AC output into a DC voltage appropriate for grid integration. The PWM rectifier utilizes PWM techniques to control power flow and maintain a constant voltage level, facilitating seamless grid integration. Grid synchronization is achieved through the coordinated operation of single-phase Voltage Source Inverter (VSI), PI controller, and PWM generator, ensuring a stable and reliable grid connection. The effectiveness of optimized controllers is demonstrated and compared with traditional control methods through MATLAB simulations and experimental validations. The results highlight the superior dynamic responsiveness, power quality, and system reliability of the proposed controllers. The SRG system proves to be suitable for microgrid implementations, with a minimal Total Harmonic Distortion (THD) value of 1.89%.