• DocumentCode
    3574776
  • Title

    Framework for the participation of EV aggregators in the electricity market

  • Author

    Bessa, R.J. ; Matos, M.A. ; Soares, F.J.

  • Author_Institution
    INESC TEC, Porto, Portugal
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The Electric Vehicle (EV) is one source of flexibility to the electric power system. When aggregated by a market agent, it can offer its flexibility in the balancing reserve market. In order to meet this goal, a framework of optimization and forecasting algorithms must designed to cover the different time horizons of the decision process. This paper describes a full framework for EV aggregators participating in different electricity market sessions. This framework is illustrated for the balancing reserve market and the impact of forecasts of different quality for the balancing reserve direction is evaluated. The test case consists in synthetic time series generated from real data for 3000 EV participating in the Iberian electricity market.
  • Keywords
    electric vehicles; forecasting theory; power markets; EV aggregator; Iberia; balancing reserve market; decision process; electric power system; electric vehicle; electricity market; forecasting algorithm; market agent; optimization framework; Availability; Electricity supply industry; Forecasting; Joints; Optimization; Power systems; Predictive models; Electric vehicles; balancing reserve; electricity market; forecasting; optimization; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Conference (IEVC), 2014 IEEE International
  • Type

    conf

  • DOI
    10.1109/IEVC.2014.7056228
  • Filename
    7056228