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Smart micro-grid integration with bidirectional DC fast charging: Harnessing vehicle-to-grid technology
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Electric Vehicle (EV) batteries can be utilized as potential energy storage devices in micro-grids. They can help in micro-grid energy management by storing energy when there is surplus (Grid-To-Vehicle, G2V) and supplying energy back to the grid (Vehicle-To-Grid, V2G) when there is demand for it. This study focuses on the integration of a Smart Micro-Grid with Bidirectional DC Fast Charging, leveraging Vehicle-to-Grid (V2G) technology for enhanced energy management. The project employs an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller to intelligently regulate the bidirectional power flow between the micro-grid and electric vehicles. The integration of V2G facilitates energy exchange, allowing electric vehicles to serve as mobile energy storage units. The Bidirectional DC Fast Charging system is optimized through the ANFIS controller, ensuring efficient energy transfer, grid stability, and load balancing. Simulation studies are carried out to demonstrate V2G- G2V power transfer.
Title: Smart micro-grid integration with bidirectional DC fast charging: Harnessing vehicle-to-grid technology
Description:
Electric Vehicle (EV) batteries can be utilized as potential energy storage devices in micro-grids.
They can help in micro-grid energy management by storing energy when there is surplus (Grid-To-Vehicle, G2V) and supplying energy back to the grid (Vehicle-To-Grid, V2G) when there is demand for it.
This study focuses on the integration of a Smart Micro-Grid with Bidirectional DC Fast Charging, leveraging Vehicle-to-Grid (V2G) technology for enhanced energy management.
The project employs an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller to intelligently regulate the bidirectional power flow between the micro-grid and electric vehicles.
The integration of V2G facilitates energy exchange, allowing electric vehicles to serve as mobile energy storage units.
The Bidirectional DC Fast Charging system is optimized through the ANFIS controller, ensuring efficient energy transfer, grid stability, and load balancing.
Simulation studies are carried out to demonstrate V2G- G2V power transfer.
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