• DocumentCode
    1309031
  • Title

    Optimized Bidding of a EV Aggregation Agent in the Electricity Market

  • Author

    Bessa, Ricardo J. ; Matos, Manuel A. ; Soares, Filipe Joel ; Lopes, João A Peças

  • Author_Institution
    Inst. de Eng. de Sist. e Comput. do Porto (INESC Porto), Univ. of Porto, Porto, Portugal
  • Volume
    3
  • Issue
    1
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    443
  • Lastpage
    452
  • Abstract
    An electric vehicle (EV) aggregation agent, as a commercial middleman between electricity market and EV owners, participates with bids for purchasing electrical energy and selling secondary reserve. This paper presents an optimization approach to support the aggregation agent participating in the day-ahead and secondary reserve sessions, and identifies the input variables that need to be forecasted or estimated. Results are presented for two years (2009 and 2010) of the Iberian market, and considering perfect and naïve forecast for all variables of the problem.
  • Keywords
    electric vehicles; load forecasting; optimisation; power markets; power system economics; EV aggregation agent; bidding; electric vehicle; electrical energy selling; electricity market forecasting; optimization; Batteries; Contracts; Electricity; Electricity supply industry; Load modeling; Optimization; Aggregator; electric vehicles; electricity market; forecasting; optimization;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2011.2159632
  • Filename
    6003808