Hybrid technique vienna rectifier based topology for FCS electric vehicle using AC-DC converter

This manuscript presents a novel approach for a fast electric vehicle (EV) charging station, employing AC to DC converter and Vienna rectifier (VR) based topology. The proposed EJS-RDF technique integrates an enhanced Jellyfish Search (EJS) and random decision forest (RDF), which offers a unique control strategy. Notably, a unidirectional boost converter replaces traditional diode-bridge rectifiers, enhancing power factor, reducing harmonics, and regulating DC voltage. Buck-type converters provide wide control range and Power Factor Control (PFC). By leveraging EJS technology, the switching voltage is reduced based on the output voltage range. Initial factors, including duty cycle, current, and voltage, are considered, with the random decision forest optimizing the duty cycle for an optimal outcome. The ultra-fast charging station (CS) incorporates an intermediate storage battery to improve the pulsations of power and serves as energy storage for renewables, thereby increasing system efficiency. The proposed EJS-RDF technique outperforms other optimization algorithms, achieving a Total Harmonic Distortion (THD) of 3.50% and 3.80% in G2V and V2G modes, respectively, surpassing Wild Horse Optimization (WHO), Side-Blotched Lizard Algorithm (SBLA), and Sequential Minimal Optimization (SMO) with THD values of 6.75%, 6.79%, 8.34%, 9.32%, 10.62%, and 15.75% in both operational modes, showcasing superior performance. The manuscript concludes with implementation in MATLAB/Simulink, aligning with journal requirements for acronym consistency. This article's significance lies in its innovative hybrid strategy, addressing power quality issues and optimizing control parameters for efficient and reliable EV charging.