Intelligent Vehicle To Grid Based Plug-in Electric Vehicle with Cloud Computing

The electric vehicle revolution is going to be the game-changer which is doing quite to reduce carbon emissions. Vehicle to Grid (V2G) is specially designed to empower the utility grid by feeding back the stored energy from batteries of the vehicles to the grid. V2G technology reflects the bidirectional power flow between the utility grid and higher thrust batteries of vehicles. When a grid needs extra power it can draw from each individual vehicle when energy is abundant. It’s a functional awareness once we consider that the maximum number of vehicles is parked in parking lots any point of time which reflects a huge amount of energy kept ideal without any use. This V2G will enables us self-sufficient by managing our own energy effectively through our process. It plays a crucial part in helping to ‘balance’ the grid. Under the scenario of a sustainable world, electric vehicles are one of the fundamental parts of the utility system by functioning as distributed energy sources in the vision of the smart grid. Electric vehicles can provide additional storage and enhance grid stability by pumping the required amount of additional power. With this process, the owner of the electric vehicle can earn some reward points in terms of cash. With the help of the electric vehicles movement in the existing grid, the amount of renewable energy inclusion to the system will be enhanced. Electric vehicles can stabilize the grid integration through penetration of return energy from the vehicle to grid during peak load time and during off-peak, it can store charge. V2G shows a significant role during load shedding. These kinds of distributed generation systems can be feasible to crucial load during an outage. This paper proposes a replacement of the traditional control arrangement of a battery system with an intelligent battery management and control system which is working in association with cloud computing. The proposed algorithm offers the computational allocation of PEV to work efficiently when the number of vehicles is more.