Optimal Temporal-spatial Electric Vehicle Charging Demand Scheduling Considering Transportation-Power Grid Couplings

摘要

This paper proposed a holistic temporal-spatial scheduling approach for charging demand (both fast charging and normal charging) of plug-in electric vehicles (PEVs). The proposed solution aims to optimally schedule the PEV charging actions based on PEV operational states with minimized charging costs and travel time, whilst meets the constraints of both transportation and power distribution networks. The power utility can also participate in the scheduling strategy by adopting real-time pricing (RTP) to increase the utilization efficiency of distributed generation (DG) and optimize the profiles of power distribution networks. The proposed solution was assessed through a set of case studies and the numerical results clearly demonstrated the effectiveness of the proposed strategy.