• DocumentCode
    2133119
  • Title

    Utility maximization for Electric Vehicle charging with admission control and scheduling

  • Author

    Wei, Zhe ; He, Jianping ; Xing, Min ; Cai, Lin

  • Author_Institution
    Department of Electrical & Computer Engineering, University of Victoria, BC, Canada
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    661
  • Lastpage
    666
  • Abstract
    How to coordinate multiple Electric Vehicles´ (EVs) charging demands to satisfy the requirements of the customers and also maximize the profit for the charging station is an important and challenging problem. Most of the existing works mainly focus on the interest of one side. In this paper, we develop a utility based multi-charger framework to ensure a win-win situation for both the customers and the charging station. We first propose an admission control algorithm to guarantee that the non-flexible charging requirements of all admitted EVs can be satisfied before their departure time. Then, we encourage all EVs to take more charging flexibility by setting an attractive price for the additional electricity to be taken by the EVs. To maximize the profit of the charging station, a utility based charging scheduling algorithm is proposed. Extensive simulations based on practical EV charging information have been conducted, which demonstrate the effectiveness of the proposed algorithms. The results show that the proposed approach can outperform the state-of-the-art one in terms of total utility, so that the charging station can enjoy a higher profit and the customers can enjoy more cost savings.
  • Keywords
    Admission control; Algorithm design and analysis; Charging stations; Energy states; Optimal scheduling; Scheduling; Scheduling algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7248397
  • Filename
    7248397