• DocumentCode
    1207567
  • Title

    Multimarket optimal bidding for a power producer

  • Author

    Plazas, Miguel A. ; Conejo, Antonio J. ; Prieto, Francisco J.

  • Author_Institution
    Union Fenosa Generacion, Madrid, Spain
  • Volume
    20
  • Issue
    4
  • fYear
    2005
  • Firstpage
    2041
  • Lastpage
    2050
  • Abstract
    This paper considers a profit-maximizing thermal producer that participates in a sequence of spot markets, namely, day-ahead, automatic generation control (AGC), and balancing markets. The producer behaves as a price-taker in both the day-ahead market and the AGC market but as a potential price-maker in the volatile balancing market. The paper provides a stochastic programming methodology to determine the optimal bidding strategies for the day-ahead market. Uncertainty sources include prices for the day-ahead and AGC markets and balancing market linear price variations with the production of the thermal producer. Results from a realistic case study are reported and analyzed. Conclusions are duly drawn.
  • Keywords
    power generation control; power generation economics; power markets; pricing; stochastic programming; automatic generation control; balancing market; day-ahead market; electricity spot market; linear price variation; multimarket optimal bidding; price-making; profit-maximization; stochastic programming; thermal power producer; Automatic generation control; Costs; Probability; Production; Programming profession; Random variables; Statistics; Stochastic processes; Uncertainty; Upper bound; Electricity spot markets; market power; optimal bidding strategies; stochastic programming;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2005.856987
  • Filename
    1525135