• DocumentCode
    651893
  • Title

    Routing Renewable Energy Using Electric Vehicles in Mobile Electrical Grid

  • Author

    Ping Yi ; Ting Zhu ; Guangyu Lin ; Qingquan Zhang

  • Author_Institution
    Sch. of Inf. Security Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2013
  • fDate
    14-16 Oct. 2013
  • Firstpage
    19
  • Lastpage
    27
  • Abstract
    Vehicle-to-Grid (V2G) is that the energy stored in the batteries of electric vehicles can be utilized to send back to the power grid. And then, the energy in the batteries of electric vehicles can move with electric vehicles (EVs). Based on above characteristics, this paper introduces the concept of a mobile electrical grid and discusses the energy routing problem. It focuses on the optimization problem of how to find routes from the energy sources to charge stations, especially, when some paths are clogged by traffic jam. A bipartite graph model is used to analyze the route problem and two algorithms are presented to compute minimal energy metric route. Both of algorithms are tested by real-world transporting data in Manhattan and the Pioneer Valley Transit Authority(PVTA). Simulations show that the method is efficient.
  • Keywords
    battery powered vehicles; graph theory; optimisation; power grids; renewable energy sources; road traffic; EV; Manhattan; PVTA; Pioneer Valley Transit Authority; V2G; battery electric vehicle; bipartite graph model; energy routing problem; energy storagez; minimal energy metric routing computation; mobile electrical grid; optimization problem; power grid; routing renewable energy; traffic jam; vehicle-to-grid; Batteries; Bipartite graph; Cities and towns; Measurement; Mobile communication; Optimization; Renewable energy sources; Energy Route; Mobile Electrical Grid; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Ad-Hoc and Sensor Systems (MASS), 2013 IEEE 10th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/MASS.2013.43
  • Filename
    6680219