• DocumentCode
    3385822
  • Title

    Short Term Optimization of Cascade Reservoirs Operation Considering Flow Routing

  • Author

    Xu, Bin ; Zhong, Ping-an ; Zhang, Mengran ; Zhang, Jinhua

  • Author_Institution
    Coll. of Hydrol. & Water Resources, Hohai Univ., Nanjing, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The water quantity is unbalanced during the scheduling period within consideration of the flow routing time in cascade reservoirs, which brings difficulties in conceiving cascade reservoirs´ short term optimal strategy jointly. A model for seeking optimization operation of cascade reservoirs is established based on the water balance equation and with concerning of adding a lag-time term for evaluating the benefit generated outside of the scheduling period because of flow delay in the research. And the combinational Progressive Optimality Algorithm(POA) of a consecutive iterations on reservoirs method is proposed for solving the established model which doesn´t possess Markov Property. Finally, a study case within the background of Qingjiang Cascade Reservoirs is applied for validating the model , The result shows that it´s reasonable and applicable. The model is representative for seeking cascade reservoirs´ optimal operation scheme within concerning of water flow delay.
  • Keywords
    hydroelectric power stations; iterative methods; nonlinear programming; power generation scheduling; reservoirs; Markov Property; POA; Qingjiang cascade reservoir; cascade reservoir operation; cascade reservoir short term optimal strategy; combinational progressive optimality algorithm; consecutive iterations; flow routing; hydroelectricity generation; lag-time term; scheduling period; short term optimization; water balance equation; Delay; Electricity; Mathematical model; Optimization; Reservoirs; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307005
  • Filename
    6307005