• DocumentCode
    1754950
  • Title

    Using ICT-Controlled Plug-in Electric Vehicles to Supply Grid Regulation in California at Different Renewable Integration Levels

  • Author

    Goebel, Christoph ; Callaway, Duncan S.

  • Author_Institution
    Tech. Univ. Munich, Munich, Germany
  • Volume
    4
  • Issue
    2
  • fYear
    2013
  • fDate
    41426
  • Firstpage
    729
  • Lastpage
    740
  • Abstract
    The purpose of this paper is to quantify the potential for plug-in electric vehicles (PEVs) to meet operating reserve requirements associated with increased deployment of wind and solar generation. The paper advances prior PEV estimates in three key ways. First, we employ easily implementable scheduling strategies with very low centralized computing requirements. Second, we estimate PEV availability based on data sampled from the National Household Travel Survey (NHTS). Third, we predict regulation demand on a per minute basis using published models from the California ISO for 20% and 33% renewable electricity supply. Our key results are as follows: First, the amount of regulation up and regulation down energy delivered by PEVs can be balanced by using a hybrid of two scheduling strategies. Second, the percentage of regulation energy that can be delivered with PEVs is always significantly higher than the percentage of conventional regulation power capacity that is deferred by PEVs. Third, regulation up is harder to satisfy with PEVs than regulation down. Fourth, the scheduling strategies we employ here have a limited impact on load following requirements. Our results indicate that 3 million PEVs could satisfy a significant portion-but not all-of the regulation energy and capacity requirements that are anticipated in California in 2020.
  • Keywords
    electric vehicles; power generation control; power grids; prediction theory; regulation; scheduling; solar power; wind power; California ISO; ICT-controlled plug-in electric vehicles; NHTS; National Household Travel Survey; PEV estimation; data sampled based PEV availability; implementable scheduling strategies; published models; regulation demand prediction; regulation down energy; regulation up energy; renewable electricity supply; renewable integration levels; scheduling strategies; solar generation; supply grid regulation; very low centralized computing requirements; wind generation; Equations; Load modeling; Mathematical model; Schedules; Standards; Vehicles; Wind forecasting; Capacity; load following; plug-in electric vehicles; regulation; renewable integration; scheduling;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2012.2218629
  • Filename
    6377249