• DocumentCode
    2056217
  • Title

    Examining power grid´s capacity to meet transportation electrification demand

  • Author

    Darabi, Z. ; Ferdowsi, M.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Plug-in hybrid electric vehicles (PHEVs) are the most promising approach to reducing petroleum use. The penetration of PHEVs is not yet significant; however, they raised a question of whether the existing power system can handle the extra load. Uncertainty arising from various factors such as charging-start time, vehicle type, miles driven, and the existing power grid load profile have motivated researchers to evaluate the impact of PHEVs using probabilistic approaches. The present study develops a model for examining the existing power system capacity to meet the PHEV load demand. The analysis considers PHEV charging as a stochastic event, and it is carried out in a discrete event simulation environment. As case studies, the model is applied to two different regions in the United States.
  • Keywords
    battery powered vehicles; hybrid electric vehicles; power grids; probability; stochastic processes; transportation; PHEV load demand; United States; plug-in hybrid electric vehicles; power grid capacity; power grid load profile; power system; probabilistic approaches; stochastic event; transportation electrification demand; Load modeling; Power grids; Probabilistic logic; Stochastic processes; Vehicles; Charging demand; event; load profile; maximum generation; outlet; plug-in hybrid electric vehicle; transportation electrification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345204
  • Filename
    6345204