A novel software-defined network based approach for charging station allocation to plugged-in electric vehicles

This paper proposes a novel approach to integrate plugged-in electric vehicles (PEVs), electric vehicle supply equipments (EVSEs), and smart grid (SG) infrastructure using state of the art software-defined network (SDN) technology, which has a potential to provide unprecedented flexibility to smart grid communication network. We further present set-cardinality based search algorithms for assigning charging station to PEVs to reduce their average charging time. Simulation results show a considerable improvement in the average charging time of PEVs as compared to conventional minimum distance based charging station selection.