• DocumentCode
    2590803
  • Title

    Toward the Value-Based Generation Investments and Utilization: Stratum Electricity Market

  • Author

    Wu, Zhiyong ; Ilic, Marija

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA
  • fYear
    2006
  • fDate
    11-15 June 2006
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    In this paper we model and analyze the dependence of electricity market outcomes on the market structures and rules. Market attributes such as electricity prices and their volatility, profits and revenues by the market participants and system cost are assessed. Of particular concerns are the effects of market structures on the long-term generation investments needed to meet long-term uncertain demand. The paper builds upon an earlier introduction of electricity market modeling resulting from the dynamics of fundamental market drivers, such as demand, supply and market clearing processes. This approach is employed to model and simulate the outcomes in the short-term spot markets, and compare these with the potential outcomes in a newly proposed stratum electricity market (SEM) structure comprising both spot and long-term sub-markets. The performance of the newly proposed SEM is illustrated using Monte Carlo simulations on a simple power system in which the only uncertainties come from the load forecasts and fuel prices
  • Keywords
    Monte Carlo methods; investment; power generation economics; power markets; pricing; Monte Carlo simulation; SEM; fuel prices; load forecasting; power system; stratum electricity market; value-based generation investment; Capacity planning; Electricity supply industry; Energy management; Investments; Power generation; Power generation economics; Power system analysis computing; Power system modeling; Power system simulation; Uncertainty; Energy Capacity Markets; Forward Markets for Electricity; Investments; Stratum Electricity Market (SEM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
  • Conference_Location
    Stockholm
  • Print_ISBN
    978-91-7178-585-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2006.360232
  • Filename
    4202244