• DocumentCode
    3665283
  • Title

    A hierarchical charging strategy for electric vehicles considering the users´ habits and intentions

  • Author

    Jia Ning; Yi Tang; Wenzhong Gao

  • Author_Institution
    School of Electrical Engineering, Southeast University, Nanjing, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the rapid growth of electric vehicles (EVs), charging large-scale EVs will affect the security and economy of power system operation. When developing the charging strategy, not only technical and economic issues but also the patterns of EVs´ utilization should be considered. This paper presents a hierarchical charging strategy for EVs considering both system level and user level benefits, together with the travel habits and intentions of users. Firstly, a system level charging strategy is proposed as a multi-objective optimization problem, which can minimize the customers´ charging fees, reduce the peak-valley difference and smooth the load fluctuation. Then a distribution charging strategy of EVs at user level based on the users´ habits and intentions is presented, which aims for the minimization of each EV battery´s charging times based on historical travel miles and real-time State of Charge (SOC). Finally, a case study indicates the effectiveness of proposed methodology to meet the requirements of power system and users.
  • Keywords
    "System-on-chip","Optimization","Smart grids","Batteries","Economics","Power system stability","Fluctuations"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7285726
  • Filename
    7285726