COP: An integrated Communication, Optimization, and Prediction unit for smart Plug-in Electric Vehicle Charging

Abstract We investigate an integrated COP architecture composed of Communication, Optimization, and Prediction unit for Plug-in Electric Vehicle (PEV) charging. The Communication unit offers a novel approach to integrate PEVs, Electric Vehicle Supply Equipments (EVSEs), and Smart Grid (SG) using Software-defined Network (SDN) technology. The prediction unit is based on the deep neural network for traffic prediction. The optimization unit allocates charging station to en-route PEVs. The three units are tied together to provide efficient charging infrastructure to en-route PEVs. Simulation results show that the prediction algorithm achieves an accuracy of more than 95% and low training time. The optimization method outperforms than the decentralized method that employs minimum distance-based charging station selection.

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