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Electric vehicles (EVs) have gained significant interest as a sustainable and environmentally friendly alternative to conventional engine vehicles.The focus on EV batteries has great potential as a valuable asset for microgrid applications in the field of advanced energy storage solutions. This paper presents a novel method for managing energy in microgrids using the capabilities of electric vehicle batteries for grid-to-vehicle (G2V) and vehicle-to-grid (V2G) interactions. This study explores the development of a hybrid electric vehicle charging station (EVCS) that effectively integrates with the grid. EVCS is intricately connected through a sophisticated framework comprising a DC-DC boost converter, a functional fitting neural network (FFNN), and a 3-phase, 3-level voltage source converter (VSC). A control strategy is suggested for effective microgrid energy management across various operating conditions. This approach guarantees smooth integration and maximizes grid energy utilization by dynamically allocating power between PV and the grid. The system utilizes Maximum Power Point Tracking (MPPT) to charge the EV directly during the availability of solar energy, adapting operations accordingly in the absence of solar energy. In addition, the station has the capability to return excess solar power to the grid when it is not being used to charge the electric vehicle, demonstrating a progressive approach to integrating smart electric vehicle grids. The deployment of this innovative electric vehicle charging infrastructure is made possible by utilizing MATLAB/Simulink, which allows for thorough modeling and simulation. The adaptable control strategy can be used for both hybrid and conventional EV charging stations.
Sandeep et al. (Thu,) studied this question.
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