• DocumentCode
    3584006
  • Title

    The use of PAR(p) model in the stochastic dual dynamic programming optimization scheme used in the operation planning of the Brazilian hydropower system

  • Author

    Maceira, M.E.P. ; Dam??zio, J.M.

  • Author_Institution
    Electr. Power Res. Center, Rio de Janeiro State Univ., Brazil
  • fYear
    2004
  • Firstpage
    397
  • Lastpage
    402
  • Abstract
    In September 2000, the Brazilian system dispatch and spot prices were calculated twice, using different inflow forecasts for that month, as in the last five days of August the inflows to the reservoirs in South and Southeast region change 200%. The first run used a smaller forecasted energy inflow, and the second a higher energy inflow. Contrary to expectations, the spot price in the second run, with the higher energy inflow, was higher than the one found in the first run. This paper describes the problem, presents the special features of PAR(p) model that allow the described behavior and shows the solution taken to avoid the problem.
  • Keywords
    dynamic programming; hydroelectric power stations; load flow; load forecasting; pricing; reservoirs; stochastic programming; time series; Brazilian hydropower system; PAR model; dynamic programming; energy inflow forecast; optimization; pricing; reservoirs; stochastic dynamic programming; time series models; Dynamic programming; Heuristic algorithms; Hydroelectric power generation; Load forecasting; Mathematical model; Predictive models; Reservoirs; Stochastic processes; Stochastic systems; Strategic planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2004 International Conference on
  • Print_ISBN
    0-9761319-1-9
  • Type

    conf

  • Filename
    1378721