• DocumentCode
    3091129
  • Title

    A mixed integer linear programming based hydro unit commitment

  • Author

    Chang, Gary W. ; Waight, James G.

  • Author_Institution
    Nat. Chung Cheng Univ., Chia-Yi, Taiwan
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    924
  • Abstract
    This paper describes the model and techniques developed to solve hydro unit commitment (HUC) problems. The developed HUC program is used to determine the optimal half-hourly schedules for the available hydro units for a user-definable study period while respecting system and hydraulic constraints. The HUC optimization algorithm uses a mixed integer linear programming (MILP) approach with an optimization package to solve the problem. In order to apply the MILP approach, the HUC problem is expressed as a linear problem with integer variables to include the discreteness of the problem. The usefulness of the proposed algorithm is illustrated by testing the developed program with actual hydro system data. Test results and numerical experience show that the proposed solution algorithm is simple and computationally efficient. The proposed algorithm is also suitable for competitive electricity market applications with hydro-dominant power systems
  • Keywords
    hydroelectric power stations; integer programming; linear programming; power generation scheduling; competitive electricity market applications; hydraulic constraints; hydro unit commitment; hydro-dominant power systems; integer variables; linear problem; mixed integer linear programming; optimal half-hourly schedules; optimization package; user-definable study period; Costs; Dynamic programming; Hydraulic turbines; Integer linear programming; Mixed integer linear programming; Power system control; Power system planning; Power systems; Processor scheduling; Reservoirs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 1999. IEEE
  • Conference_Location
    Edmonton, Alta.
  • Print_ISBN
    0-7803-5569-5
  • Type

    conf

  • DOI
    10.1109/PESS.1999.787440
  • Filename
    787440