An Intelligent Multi-objective EV Charging Architecture with Enhanced Power Quality Operation

This paper presents a reconfigurable multi-objective charging control architecture to overcome various grid abnormalities during EV charging operation. It depicts a novel least mean square algorithm to accurately evaluate active and reactive power demand during EV charging operation through renewable and battery integration. The control architecture ensures an uninterrupted charging provision by participating in low voltage ride through operation. The charging architecture coordinates the multi-stage control to establish a seamless charging operation through grid-following and grid-forming operations. The charging unit provides both AC and DC charging facilities through decentralized control management and ensures an improved power quality during grid following operations. The control algorithm is developed in MATLAB and Simulink environment and validated through a single-phase Level-I utility charging architecture.