Recharging prioritization method for the integration of electric vehicle fleets with the Smart Grid: an evolutionary computation approach

Abstract

The recent advances on electric vehicles are accelerating their expansion across the world. Their advantages from the ecological point of view are positioning them as the future transport method. Despite of all their advantages, the recharging of these vehicles will raise difficulties from the point of view of power system planning due to their high-power demand. They can cause high consumption peaks over the system if many of them are charged simultaneously. Therefore, this problem must be solved for not to stop the expansion of electric vehicles. In this sense, this paper proposes the use of evolutionary computation methods for the planning of vehicle recharging as part of a complete platform based on virtual power plants. In this way, the integration between fleets and the grid can be achieved, reducing the peak power requirements. Different algorithms are described and compared here, showing their performance and computational cost.