Author : Mercy S, DR. Karthikeyan V, Ananya M.P.
Date of Publication :15th November 2024
Abstract:The paper postulates a new approach in energy management through 'Vehicle-to-Grid' in the context of the micro-grid where the Electric Vehicle battery acts as storage for both storing and supplying energy from a DC fast charger architecture. This system allows a bi-direction flow of energy between the Grid and the Vehicle for active power stability management in the context of energy demand management in the micro-grid setting. A Model Predictive Control strategy incorporated with Artificial Neural Network enhances responsiveness, stability, and the power quality of the system by reducing harmonic distortion in the grid-injected current. Simulation results have been quite robust in dynamic performances that signify the possibility of increasing micro-grid resilience and V2G-enabled grid-connected EV systems.
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