• DocumentCode
    645715
  • Title

    Strategic Generation Companies bidding with uncertainty using interval arithmetic

  • Author

    Gutierrez-Alcaraz, G. ; Nunez-Ponce, Ana C.

  • Author_Institution
    Programa de Graduados e Investig. en Ing. Electr., Inst. Tecnol. de Morelia, Morelia, Mexico
  • fYear
    2013
  • fDate
    22-24 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A proper assessment of the uncertainties resulting from the behavior of Generation Companies (GenCos) in wholesale electricity auctions helps to determine the best strategic bidding strategy. This paper proposes to optimize bidding strategies using interval arithmetic (IA). The resulting optimization problem is a multi-objective problem (MOP) which is solved by using the ε-constraint method. The new technique provides insights into market behavior with repeated bidding.
  • Keywords
    electric power generation; optimisation; power markets; tendering; ε-constraint method; GenCos; MOP; bidding strategy; interval arithmetic; multiobjective problem; optimization problem; strategic generation companies; uncertainty; wholesale electricity auctions; Computational modeling; Electricity; Linear programming; Optimization; Probabilistic logic; Uncertainty; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2013
  • Conference_Location
    Manhattan, KS
  • Type

    conf

  • DOI
    10.1109/NAPS.2013.6666865
  • Filename
    6666865