• DocumentCode
    1869365
  • Title

    Building generation supply curves under uncertainty in residual demand curves for the day-ahead electricity market

  • Author

    Berzal, David ; De la Fuente, José Ignacio ; Gómez, Tomás

  • Author_Institution
    Instituto de Investigacion Tecnologica, Univ. Pontificia Comillas, Madrid, Spain
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Abstract
    The restructuring process that took place in the Spanish electricity market in 1998 has caused the appearance of new procedures and rules, and the implementation of decentralized operation models. Under this new competitive framework, utilities pursue supply strategies to maximize their benefits. This paper proposes a stochastic building model of competitive supply curves under uncertainty, whose objective is to maximize the expected profit of a generation utility in the day-ahead market of a deregulated electrical system. The model contemplates the global strategy of the utility, but also it specifies the bid for each generation unit. At the same time the model has a great flexibility characterizing different market conditions. Firstly, the formulation and the restrictions of the iterative optimization problem are described. Afterwards, a brief review of the model algorithm, based on successive optimizations for different scenarios, is shown. Next the building up procedure of the bidding supply curves is explained. Finally, a case study is presented that allows the validity of the proposed model to be checked
  • Keywords
    electricity supply industry; iterative methods; load forecasting; optimisation; stochastic processes; Spanish electricity market restructuring; bidding supply curves; competitive supply curves; day-ahead electricity market; decentralized operation models; deregulated electrical system; generation unit bidding; global strategy; iterative optimization restrictions; market conditions; residual demand curves; stochastic building model; stochastic optimization; successive optimizations; uncertainty; Electricity supply industry; Environmental economics; Iterative algorithms; Oligopoly; Power generation; Power generation economics; Power system economics; Power system modeling; Stochastic systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech Proceedings, 2001 IEEE Porto
  • Conference_Location
    Porto
  • Print_ISBN
    0-7803-7139-9
  • Type

    conf

  • DOI
    10.1109/PTC.2001.964623
  • Filename
    964623