• DocumentCode
    76534
  • Title

    Self-Commitment of Combined Cycle Units Under Electricity Price Uncertainty

  • Author

    Papavasiliou, Anthony ; Yi He ; Svoboda, Alva

  • Author_Institution
    Catholic Univ. of Louvain, Louvain la Neuve, Belgium
  • Volume
    30
  • Issue
    4
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    1690
  • Lastpage
    1701
  • Abstract
    Day-ahead energy market clearing relies on a deterministic equivalent model with a limited time horizon, which may lead to inefficient scheduling of generating units from the point of view of generators. For this reason, generators may wish to assume the risk of self-committing their units with the hope of securing greater profits. This phenomenon may reduce the room for economic signals in the day-ahead market. In this paper we investigate the influence of risk aversion and price volatility on the decision of generators to self-commit units. We present a stochastic programming model for self-committing combined cycle units under price uncertainty with a conditional value at risk criterion. We use Benders decomposition to solve the problem and present results on a case study to draw conclusions.
  • Keywords
    combined cycle power stations; power generation economics; power generation scheduling; power markets; risk management; stochastic programming; Benders decomposition; combined cycle unit self-commitment; conditional value-at-risk criterion; day-ahead energy market clearing; deterministic equivalent model; economic signals; electricity price uncertainty; generating unit inefficient scheduling; limited time horizon; price volatility; risk aversion; stochastic programming model; Computational modeling; Electricity; Fuels; Generators; Real-time systems; Turbines; Uncertainty; Benders decomposition; combined cycle units; conditional value at risk; self-commitment;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2354832
  • Filename
    6902824