• DocumentCode
    1329571
  • Title

    New analytical approach for long-term optimal operation of a parallel multireservoir power system based on functional analysis

  • Author

    Christensen, G.S. ; Soliman, S.A.

  • Author_Institution
    Dept. of Electr. Eng., Alberta Univ., Edmonton, Alta., Canada
  • Volume
    11
  • Issue
    3
  • fYear
    1986
  • fDate
    7/1/1986 12:00:00 AM
  • Firstpage
    118
  • Lastpage
    127
  • Abstract
    Functional analysis and the minimum norm formulation are applied to maximize the total benefits from a parallel multireservoir power system, which may contain run-of-river downstream reservoirs. The hydroelectric power generation is a highly nonlinear function of the storage and the discharge. The method takes into account the water head variation (conversion factor variation) and the stochasticity of the river flows. The proposed method is computationally efficient compared to previous techniques. Numerical results are presented for a real system in operation consisting of three rivers. The first river has two series controllable reservoirs; the second river has two series reservoirs, the upstream reservoir is a controllable reservoir and the downstream reservoir is a run-of-river reservoir; and the third river has two series controllable reservoirs.
  • Keywords
    functional analysis; hydroelectric power stations; power systems; computationally efficient; conversion factor variation; discharge; functional analysis; hydroelectric power generation; long-term optimal operation; minimum norm formulation; nonlinear function; parallel multireservoir power system; river flow stochasticity; run-of-river downstream reservoirs; series controllable reservoirs; storage; water head variation; Equations; Mathematical model; Optimization; Power systems; Reservoirs; Rivers;
  • fLanguage
    English
  • Journal_Title
    Electrical Engineering Journal, Canadian
  • Publisher
    ieee
  • ISSN
    0700-9216
  • Type

    jour

  • DOI
    10.1109/CEEJ.1986.6594048
  • Filename
    6594048