Robust and optimal utilisation of power in a grid-interfaced wind energy conversion system with a GWOA-based efficient controller

Robust and optimal power utilization is achieved in a grid-interfaced wind energy conversion system by modelling and designing a novel, efficient controller. A robust wind-powered system model is designed by combining a wind turbine, a permanent magnetic synchronous generator (PMSG), a positive output self-lift Luo converter (POSLLC), a maximum power point tracker (MPPT), a battery system, and an intelligent controller with a successful control strategy. The Grey Wolf optimization algorithm (GWOA) is used to develop the proposed control strategy. The proposed controller generates exact control signals for converters in the system for optimal switching. The intermittent nature of wind energy, the fluctuating nature of power use, and the quantity of charge in storage devices are the system's key restrictions. The main objective here is to achieve high power utilization at the consumer end by enhancing system efficiency with optimal switching. The desired model is then coded into the MATLAB/Simulink work environment, and existing methods are used to evaluate how well it works.