• DocumentCode
    2112218
  • Title

    Power Saving in Water Supply System with Pump Operation Optimization

  • Author

    Shu Shihu ; Zhang Dong ; Liu Suiqing ; Zhao Ming ; Yuan Yixing ; Zhao Hongbin

  • Author_Institution
    Nat. Eng. Res. Center (South) of Urban Water Resources, Tongji Univ., Shanghai, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The optimal model makes use of the latest advances in hybrid genetic algorithm (genetic simulated annealing, GSA) to automatically determine the least-cost pump operation for each pump station in large-scale water supply system while satisfying hydraulic performance requirements. When the simplified model was used instead of the microscopic model, the calculation time of optimal control model was greatly saved, but the precision was basically the same. The results of optimal control model for the water distribution system in city T showed that the simplified model for optimal control had remarkable advantage. Pump optimal operation reduce electricity energy by 6.04 percent compared with empirical operation.
  • Keywords
    energy conservation; power system control; water supply; genetic simulated annealing; hybrid genetic algorithm; large-scale water supply system; microscopic model; optimal control model; power saving; pump operation optimization; water distribution system; Cities and towns; Constraint optimization; Energy consumption; Genetic engineering; Microscopy; Optimal control; Power engineering and energy; Power system modeling; Switches; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5449192
  • Filename
    5449192