• DocumentCode
    3007716
  • Title

    Application of Decision Support System to Three Gorges Cascade Hydropower Station

  • Author

    Liao, Jiaping ; He, Li ; Yuan, Xiaohui ; Li, Hui

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Hubei Univ. of Technol, Wuhan
  • fYear
    2008
  • fDate
    25-26 Sept. 2008
  • Firstpage
    500
  • Lastpage
    503
  • Abstract
    Three Gorges (TG) cascade stations plays an important role in power system, which is a major power supply station burdened with trades between multi-provincial grids. Hydropower Scheduling Decision Support System (TGDSS) is developed to improve scientific and economy of reservoir operation. In order to increase comprehensive benefit of TG Project, the practical models of joint scheduling, peak regulation and operating mode in power market are designed to provide timely decision-making. Subsequently, the structure, function, model division and realizing methods are introduced in detail. The practice shows that TGDSS has greatly increased the cascade water utilization rate and promote resource optimal configuration.
  • Keywords
    decision support systems; hydroelectric power stations; power generation economics; power generation scheduling; power grids; power markets; power system analysis computing; Three Gorges cascade hydropower station; decision making; hydropower scheduling decision support system; joint scheduling; peak regulation; power market; power supply station; reservoir economy operation; reservoir scientific operation; Control systems; Decision making; Decision support systems; Hydroelectric power generation; Power markets; Power supplies; Power system management; Power system modeling; Reservoirs; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3334-6
  • Type

    conf

  • DOI
    10.1109/WGEC.2008.80
  • Filename
    4637494