• DocumentCode
    3298748
  • Title

    Models for the EV aggregation agent business

  • Author

    Bessa, R.J. ; Soares, F.J. ; Pecas Lopes, J.A. ; Matos, Manuel A.

  • Author_Institution
    Inst. de Eng. de Sist. e Comput. do Porto (INESC Porto), Univ. of Porto, Porto, Portugal
  • fYear
    2011
  • fDate
    19-23 June 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    It is foreseeable that electricity retailers for electrical mobility will be market agents. These retailers are electric vehicle (EV) aggregation agents, which operate as a commercial middleman between electricity market and EV owners. Furthermore, with the foreseen evolution of the smart-grid concept, these agents will be able to control the EV charging rates and offer several ancillary services. This paper formulates an optimization problem for the EV aggregation agent participation in the day-ahead and secondary reserve market sessions. Forecasting issues are also discussed. The methodology was tested for two years (2009 and 2010) of the Iberian market, considering perfect and naïve forecast for all variables of the problem.
  • Keywords
    electric vehicles; load forecasting; optimisation; power markets; smart power grids; EV aggregation agent business; Iberian market; day-ahead market session; electric vehicle aggregation agent business; electrical mobility; electricity market; electricity retailers; load forecasting; market agents; optimization problem; secondary reserve market session; smart-grid concept; Decision support systems; Manganese; Silicon; Electric vehicles; aggregator; electricity market; forecasting; optimization; secondary reserve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2011 IEEE Trondheim
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-8419-5
  • Electronic_ISBN
    978-1-4244-8417-1
  • Type

    conf

  • DOI
    10.1109/PTC.2011.6019221
  • Filename
    6019221