• DocumentCode
    1816119
  • Title

    Analysis of wind penetration and network reliability through Monte Carlo simulation

  • Author

    Anderson, C.L. ; Cardell, J.B.

  • Author_Institution
    Dept. of Biol. & Environ. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    2009
  • fDate
    13-16 Dec. 2009
  • Firstpage
    1503
  • Lastpage
    1510
  • Abstract
    Generating electricity from wind resources has many environmental and economic advantages over traditional fossil-fueled generation. As a result, there is little doubt that energy from wind will be a significant contribution to the electricity portfolio of the future. Due to the sensitivity of the network and the volatility of the wind resource, analysis of power system operations using expected wind generation is not representative of actual system operations. In order to account for this fundamental uncertainty in wind generation, a Monte Carlo simulation model is developed based on an Optimal Power Flow model, and tested on the IEEE 39-bus test system. The results of these simulations indicate that while the average cost of serving load decreases with increasing wind penetration, the reliability of the system is highly sensitive to the ability of other generators on the system to ramp production either up or down on very short timescales.
  • Keywords
    Monte Carlo methods; power generation economics; power generation reliability; wind power plants; IEEE 39-bus test system; Monte Carlo simulation; economic advantages; electric generation; electricity portfolio; environmental advantages; network reliability; network sensitivity; optimal power flow model; system reliability; wind generation; wind penetration; wind resources; Environmental economics; Portfolios; Power generation; Power generation economics; Power system economics; Power system modeling; System testing; Wind energy; Wind energy generation; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2009 Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-5770-0
  • Type

    conf

  • DOI
    10.1109/WSC.2009.5429298
  • Filename
    5429298