Optimal Charging Site Recommendation and Scheduling for Electric Vehicles Considering User Price Sensitivity

Chikun Huang; Mengge Shi; Han Wang; Youwei Jia

10.1109/ISGTAsia54193.2022.10003540

2022

2378-8534

979-8-3503-9967-7

2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)

449-453

1-5 Nov. 2022

Singapore, Singapore

With the mass rollout of electric vehicles (EVs), exploiting the charging flexibility of EVs becomes a promising solution to improve system operational efficiency. It is obvious that the charging behaviors can be influenced by altering the price incentives, whereas the associated optimization problem concerning the matching between controllable EV resources and charging station (CS) scheduling still remains open. In this regard, a two-level EV-CS matching and scheduling model is proposed in this paper. At the upper level, each EV is recommended to a CS based on the energy scheduling plan from the CSs and the price sensitivity of the EVs. The lower level solves the optimal incentive and scheduling problem associated with the CSs and the assigned EVs. Numerical simulations are carried out to demonstrate the effectiveness of the proposed model.

Charging station recommendation incentive price sensitivity energy scheduling plan

第一

IEEE

Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China

Chikun Huang,Mengge Shi,Han Wang,et al. Optimal Charging Site Recommendation and Scheduling for Electric Vehicles Considering User Price Sensitivity[C],2022:449-453.