• DocumentCode
    759015
  • Title

    Probabilistic production costing modeled with AMPL

  • Author

    González, José A.

  • Author_Institution
    Dept. of Stat. & Oper. Res., Tech. Univ. of Catalonia, Barcelona, Spain
  • Volume
    17
  • Issue
    2
  • fYear
    2002
  • fDate
    5/1/2002 12:00:00 AM
  • Firstpage
    277
  • Lastpage
    282
  • Abstract
    The work presented deals with long-term hydrogeneration optimization in integrated systems when there are no limitations on the availability of fuels for thermal units. A multicommodity network model represents stochastic hydrovariables. Uncertainty due to random inflows means that the hydrogeneration´s share in production is undeterministic, and this is carefully considered by means of treatment of the load duration curve described in this paper. A suitable approximation of the expected production cost is minimized subject to multicommodity network constraints. The model was written with the AMPL language and tested with realistic cases. Simulation with many inflow sequences was used to validate the results obtained
  • Keywords
    costing; hydroelectric power; load (electric); optimisation; power engineering computing; power generation economics; AMPL language; expected production cost; hydrogeneration optimization; hydrothermal scheduling; load duration curve; long-term operating planning; modeling languages; multicommodity network model; nonlinear optimization; probabilistic production costing; random inflows; stochastic hydrovariables; thermal unit fuel; uncertainty; Cost function; Costing; Dynamic programming; Fuels; Production; Reservoirs; Stochastic processes; Uncertainty; Water resources; Water storage;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2002.1007893
  • Filename
    1007893