• DocumentCode
    3303017
  • Title

    Generation & transmission adequacy of large interconnected power systems: A contribution to the renewal of Monte-Carlo approaches

  • Author

    Doquet, M. ; Fourment, C. ; Roudergues, J.

  • Author_Institution
    RTE, Versailles, France
  • fYear
    2011
  • fDate
    19-23 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    For the last ten years, the European electricity market has been fast evolving, institutional moves being conjugated with new technological options and environmental concerns. This paves the way for wider techno-economic studies regarding generation as well as transmission. RTE, who establishes every two years a generation adequacy report circumscribed to the French perimeter, has developed a new tool for probabilistic studies (Antares) designed to be able to work at a much larger scale. This tool is a sequential Monte-Carlo simulator that connects a market model (minimization of the system´s operating costs) to Time-Series generators (stochastic processes simulators) that define the technical and meteorological assumptions to use along the 8760-hour frame of each Monte-Carlo year. The growing importance of intermittent generation explains why the relevant generators were paid special attention. Antares has so far been successfully used in a number of regional studies carried out in cooperation with members of the European Network of Transmission System Operators for Electricity (ENTSO-E).
  • Keywords
    Monte Carlo methods; power generation economics; power markets; power system interconnection; power transmission economics; ENTSO-E; European electricity market; European network; generation adequacy; large interconnected power systems; sequential Monte-Carlo simulator; time-series generators; transmission adequacy; transmission system operators; Economics; Europe; Generators; Load modeling; Monte Carlo methods; Stochastic processes; Wind power generation; Diffusion processes; Linear programming; Multivariate processes; Power system economics; Power system planning; Sequential Monte-Carlo simulation; Stochastic processes; Wind power generation;
  • 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.2011.6019444
  • Filename
    6019444