• DocumentCode
    1314354
  • Title

    Load Scheduling and Dispatch for Aggregators of Plug-In Electric Vehicles

  • Author

    Wu, Di ; Aliprantis, Dionysios C. ; Ying, Lei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • Volume
    3
  • Issue
    1
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    368
  • Lastpage
    376
  • Abstract
    This paper proposes an operating framework for aggregators of plug-in electric vehicles (PEVs). First, a minimum-cost load scheduling algorithm is designed, which determines the purchase of energy in the day-ahead market based on the forecast electricity price and PEV power demands. The same algorithm is applicable for negotiating bilateral contracts. Second, a dynamic dispatch algorithm is developed, used for distributing the purchased energy to PEVs on the operating day. Simulation results are used to evaluate the proposed algorithms, and to demonstrate the potential impact of an aggregated PEV fleet on the power system.
  • Keywords
    battery powered vehicles; load dispatching; load forecasting; power markets; pricing; PEV power demands; day-ahead market; forecast electricity price; load dispatch; load scheduling; minimum-cost load scheduling algorithm; negotiating bilateral contracts; plug-in electric vehicles; power system; Batteries; Contracts; Electricity; Heuristic algorithms; Power demand; Vehicles; Electric vehicles; power demand; power system economics; smart grids;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2011.2163174
  • Filename
    6009220