• DocumentCode
    17721
  • Title

    A Game-Theoretic Analysis of Wind Generation Variability on Electricity Markets

  • Author

    Chattopadhyay, Deb ; Alpcan, Tansu

  • Author_Institution
    Energy & Water Dept., Saha Int., Parkdale, VIC, Australia
  • Volume
    29
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    2069
  • Lastpage
    2077
  • Abstract
    Wind generation variability in an energy-only market such Australian National Electricity Market (NEM) can create significant revenue uncertainties for incumbent generators and substantially increase price risks faced by retailers. This paper presents a Cournot game model to formally analyze how high volatility of wind generation in a concentrated energy-only market can raise the peak/shoulder period (of typically low wind generation) prices to offset the foregone revenue during off-peak periods (of high wind generation). A Monte Carlo simulation around a Cournot game is formulated as an inter-temporal nonlinear optimization problem to assess these issues. The model is implemented for the South Australian zone of the Australian NEM that has experienced high growth in wind generation in recent years. The model results support some of the observed spot pricing behavior in the region in recent years. These findings have significant ramifications for the efficacy of the energy-only market in scenarios with high penetration of intermittent generation.
  • Keywords
    Monte Carlo methods; game theory; optimisation; power markets; pricing; risk analysis; wind power; Australian NEM; Australian national electricity market; Cournot game model; Monte Carlo simulation; South Australian zone; electricity market; game theoretic analysis; incumbent generator; intertemporal nonlinear optimization problem; spot pricing observation; wind generation variability; wind generation volatility; Analytical models; Electricity supply industry; Games; Generators; Mathematical model; Optimization; Wind power generation; Australian electricity market; Cournot game; inter-temporal optimization; wind power variability;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2306192
  • Filename
    6755570