• DocumentCode
    1969627
  • Title

    Short term hydropower dispatching optimization of cascaded hydropower stations based on two-stage optimization

  • Author

    Ma, Chao

  • Author_Institution
    Sch. of Civil Eng., Tianjin Univ., Tianjin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-11 July 2010
  • Firstpage
    230
  • Lastpage
    233
  • Abstract
    A two-stage optimization strategy and its models for short-term hydropower dispatching optimization is developed to solve unit commitment and load distribution problem with unit commitment optimization sub-model and min water consumption sub-model. Moreover, improved ant algorithm with new selection mechanism and iteration mechanism are introduced for optimization. The proposed methods are employed to solve short-term hydropower dispatching optimization of Longyangxia-Lijiaxia cascaded hydropower stations in Yellow river. Operation characteristics of units and their combined operation strategies are developed by the field test. The results show that the proposed methods are able to obtain dispatching solution with lower water consumption rate and better load distribution and feasible unit commitment.
  • Keywords
    hydroelectric power; hydroelectric power stations; iterative methods; load distribution; optimisation; power generation dispatch; power generation scheduling; Longyangxia-Lijiaxia cascaded hydropower stations; Yellow river; ant algorithm; hydropower dispatching optimization; iteration mechanism; load distribution problem; min water consumption sub-model; selection mechanism; two stage optimization strategy; unit commitment optimization sub-model; water consumption rate; cascaded hydropower stations; field test; improved ant algorithm; short-term hydropower dispatching; two-stage optimization; unit commitment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (IIS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7860-6
  • Type

    conf

  • DOI
    10.1109/INDUSIS.2010.5565870
  • Filename
    5565870