Receding horizon power management for electrical vehicle charging

This paper considers receding horizon optimization strategies of power management for a large scale network of EV charging loads. The problem formulation is unique in that charging requests are classified into a relative small number of load types. Two receding horizon schemes are proposed in the paper to deal with possible dynamic changes in the network: complete receding horizon optimization which produces better performance with more computation involved, and partial receding horizon optimization which trades performance with very light computation effort.