• DocumentCode
    61972
  • Title

    Mobility-Aware Coordinated Charging for Electric Vehicles in VANET-Enhanced Smart Grid

  • Author

    Miao Wang ; Hao Liang ; Ran Zhang ; Ruilong Deng ; Xuemin Shen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • Volume
    32
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    1344
  • Lastpage
    1360
  • Abstract
    Coordinated charging can provide efficient charging plans for electric vehicles (EVs) to improve the overall energy utilization while preventing an electric power system from overloading. However, designing an efficient coordinated charging strategy to route mobile EVs to fast-charging stations for globally optimal energy utilization is very challenging. In this paper, we investigate a special smart grid with enhanced communication capabilities, i.e., a VANET-enhanced smart grid. It exploits vehicular ad-hoc networks (VANETs) to support real-time communications among road-side units (RSUs) and highly mobile EVs for collecting real-time vehicle mobility information or dispatching charging decisions. Then, we propose a mobility-aware coordinated charging strategy for EVs, which not only improves the overall energy utilization while avoiding power system overloading, but also addresses the range anxieties of individual EVs by reducing the average travel cost. Specifically, the mobility-incurred travel cost for an EV is considered in two aspects: 1) the travel distance from the current position of the EV to a charging station; and 2) the transmission delay for receiving a charging decision via VANETs. The optimal mobility-aware coordinated EV charging problem is formulated as a time-coupled mixed-integer linear programming problem. By solving this problem based on Lagrange duality and branch-and-bound-based outer approximation techniques, an efficient charging strategy is obtained. To evaluate the performance of the proposed strategy, a realistic suburban scenario is developed in VISSIM to track vehicle mobility through the generated simulation traces, based on which the travel cost of each EV can be accurately calculated. Extensive simulation results demonstrate that the proposed strategy considerably outperforms the traditional EV charging strategy without VANETs on the metrics of the overall energy utilization, the average EV travel cost, and the number of successfu- ly charged EVs.
  • Keywords
    cost reduction; electric vehicles; integer programming; linear programming; smart power grids; vehicular ad hoc networks; Lagrange duality; RSU; VANET-enhanced smart grid; VISSIM; branch-and-bound-based outer approximation techniques; electric power system; electric vehicles; fast-charging stations; mobile EV; mobility-in-curred travel cost reduction; optimal mobility-aware coordinated EV charging problem; real-time communications; real-time vehicle mobility information; road-side units; smart grid; time-coupled mixed-integer linear programming problem; transmission delay; vehicular ad-hoc networks; Batteries; Charging stations; Mobile communication; Real-time systems; Smart grids; Vehicles; Mobile EVs; VANETs; coordinated fast charging; range anxiety; smart grid;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2014.2332078
  • Filename
    6840326