• DocumentCode
    2994595
  • Title

    A Model Predictive Control Approach to Operational Efficiency of Intake Pump Stations

  • Author

    Tang, Yuling ; Zhang, Shirong

  • Author_Institution
    Autom. Dept., Wuhan Univ., Wuhan, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    92
  • Lastpage
    95
  • Abstract
    The energy saving of intake pump stations can be achieved by improving their operational efficiency. Variable speed control and pump combination are proposed in literature to save energy of pump stations. However, the current implementations mostly focus on lower level speed control without operational considerations at the system level. In this paper, a model predictive control approach (MPC) is introduced to improve the operational efficiency of intake pump stations, where time-of-use (TOU) tariff, water demand and other system constraints are considered. An intake pump station in a seaside water treatment plant is taken as a case study. The conventional optimal control strategy and the MPC approach are investigated. The advantage of the MPC approach is convinced by the simulation results.
  • Keywords
    electricity supply industry; energy conservation; intake systems (machines); optimal control; power system control; predictive control; pumping plants; pumps; velocity control; energy saving; intake pump station; model predictive control; operational efficiency; optimal control; pump combination; seaside water treatment plant; system constraint; time-of-use tariff; variable speed control; water demand; Biological system modeling; Optimal control; Optimization; Predictive models; Rivers; Switches; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.31
  • Filename
    5630594