• DocumentCode
    2654660
  • Title

    Minimizing residential distribution system operating costs by intelligently scheduling plug-in hybrid electric vehicle charging

  • Author

    Fettinger, Nathan ; Ten, Chee-Wooi ; Chigan, Chunxiao

  • fYear
    2012
  • fDate
    18-20 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Rising fuel prices and environmental concerns are threatening the stability of current electrical grid systems. These factors are pushing the automobile industry towards more efficient, hybrid vehicles. Current trends show petroleum is being edged out in favor of electricity as the main vehicular motive force. The proposed methods create an optimized charging control schedule for all participating Plug-in Hybrid Electric Vehicles in a distribution grid. The optimization will minimize daily operating costs, reduce system losses, and improve power quality. This requires participation from Vehicle-to-Grid capable vehicles, load forecasting, and Locational Marginal Pricing market predictions. Vehicles equipped with bidirectional chargers further improve the optimization results by lowering peak demand and improving power quality.
  • Keywords
    automobile industry; cost reduction; hybrid electric vehicles; load forecasting; power distribution economics; power grids; power supply quality; pricing; scheduling; automobile industry; bidirectional chargers; current electrical grid system stability; distribution grid; environmental concerns; fuel prices; intelligently scheduling plug-in hybrid electric vehicle charging; load forecasting; locational marginal pricing market predictions; power quality; residential distribution system operating costs minimization; system losses; vehicle-to-grid capable vehicles; vehicular motive force; Batteries; Electricity; Hybrid electric vehicles; Mathematical model; Minimization; Optimization; Distributed Generation (DG); Distribution Market Price; Plug-in Hybrid Electric Vehicle (PHEV); Vehicle-to-Grid (V2G); intelligent Energy Management System (iEMS); stochastic optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Conference and Expo (ITEC), 2012 IEEE
  • Conference_Location
    Dearborn, MI
  • Print_ISBN
    978-1-4673-1407-7
  • Electronic_ISBN
    978-1-4673-1406-0
  • Type

    conf

  • DOI
    10.1109/ITEC.2012.6243460
  • Filename
    6243460