• DocumentCode
    1754028
  • Title

    Long-term Optimal Scheduling of Cascade Hydropower Stations Using Fuzzy Multi-objective Dynamic Programming Approach

  • Author

    Luo, Peng ; Zhou, Jianzhong ; Qin, Hui ; Lu, Youlin

  • Author_Institution
    Coll. of Hydropower Eng., HuaZhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    1
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    174
  • Lastpage
    176
  • Abstract
    A multi-objective fuzzy dynamic programming model for Three Gorges cascaded hydropower is presented in this paper. Three Gorges cascaded hydropower is a multifunctional reservoir, and it plays a great role in power generation, shipping, ecology, etc. Many methods have being developed to solve the conflict among them. In this paper, we develop a single-objective fuzzy dynamic programming model firstly, then we extent the model to multi-objective fuzzy dynamic programming model. Considering the actual conditions of Three Gorges cascaded hydropower, we take maximization of Three Gorges reservoir´s power generation and minimization of Gezhouba reservoir´s surplus water as the two objectives, and the optimal problem is solved satisfactorily.
  • Keywords
    dynamic programming; fuzzy systems; hydroelectric power stations; power generation scheduling; Gezhouba reservoir; Three Gorges reservoir; fuzzy multiobjective dynamic programming approach; long-term optimal scheduling; multifunctional reservoir; power generation; single-objective fuzzy dynamic programming model; three Gorges cascade hydropower station; Biological system modeling; Dynamic programming; Heuristic algorithms; Hydroelectric power generation; Optimization; Reservoirs; Multi-objective; cascade hydropower; fuzzy approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.52
  • Filename
    5750584