• DocumentCode
    1701261
  • Title

    Optimal operation of the cascade hydropower station reservoirs in the upper Hanjiang River

  • Author

    Sun Xiaoyi ; Huang Qiang

  • Author_Institution
    Key Lab. of Northwest Water Resources & Environ. Ecology of MOE, Xi´an Univ. of Technol., Xi´an, China
  • Volume
    1
  • fYear
    2011
  • Firstpage
    618
  • Lastpage
    621
  • Abstract
    According to the characteristics and main task of the hydropower station reservoirs in the upper Hanjiang River, the problem of long-term optimal operation for the cascade reservoirs is studied. Long-term optimal operation model is established with the target function of maximum cascade power capacity. The optimal model is solved with the combination of successive approximation method of dynamic programming and progressive optimal algorithm (referred as DPSA-POA). The results show that the optimal effect of is better than effects of other algorithms, which the power capacity of hydropower stations and water resources utilization rate increase obviously compared to the results of other algorithms.
  • Keywords
    dynamic programming; environmental science computing; geophysics computing; hydroelectric power; hydroelectric power stations; optimisation; power engineering computing; rivers; water resources; China; DPSA-POA; cascade hydropower station operation; cascade hydropower station reservoirs; dynamic programming; long term optimal operation model; maximum cascade power capacity; progressive optimal algorithm; successive approximation method; target function; upper Hanjiang river; water resources utilization rate; Dynamic programming; Heuristic algorithms; Hydroelectric power generation; Optimization; Reservoirs; Trajectory; cascade reservoirs; optimization operation; progressive optimal algorithm; succesive approximation methods of dynamic programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-339-1
  • Type

    conf

  • DOI
    10.1109/ISWREP.2011.5893083
  • Filename
    5893083