• DocumentCode
    1720594
  • Title

    Building the Optimal Contract Portfolio under Non-Probabilistic Uncertainties

  • Author

    Pinto, L. ; Fernandez, M. ; Macêdo, L.H. ; Szczupak, J.

  • Author_Institution
    Engenho, Rio de Janeiro
  • fYear
    2007
  • Firstpage
    2232
  • Lastpage
    2235
  • Abstract
    This paper proposes an integrated solution to the optimum portfolio building considering price and demand uncertainties. More than simply assessing risks, the proposed approach opens the possibility of a real and effective risk management, including maximum risk levels as optimization constraints. The resulting model corresponds to a stochastic non-linear integer programming problem and is solved by a customized algorithm, designed for efficiency and reliability. Possible extensions (targeting special markets customization) are straightforward and may be easily taken into account.
  • Keywords
    integer programming; power system economics; risk analysis; stochastic programming; nonprobabilistic uncertainties; optimal contract portfolio; risk assessment; risk management; stochastic nonlinear integer programming problem; Contracts; Demand forecasting; Economic forecasting; Input variables; Load forecasting; Portfolios; Power generation economics; Risk analysis; Risk management; Uncertainty; Energy Portfolio Contracts; Energy Trading; Risk Management; Scenario Forecasts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2007 IEEE Lausanne
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2189-3
  • Electronic_ISBN
    978-1-4244-2190-9
  • Type

    conf

  • DOI
    10.1109/PCT.2007.4538665
  • Filename
    4538665