• DocumentCode
    2693804
  • Title

    Optimal scheduling and control of a multi-pump boosting system

  • Author

    Yang, Zhenyu ; Børsting, Hakon

  • Author_Institution
    Dept. of Electron. Syst., Aalborg Univ., Esbjerg, Denmark
  • fYear
    2010
  • fDate
    8-10 Sept. 2010
  • Firstpage
    2071
  • Lastpage
    2076
  • Abstract
    An optimal scheduling and control method for a multiple pump system is proposed from the energy efficient point of view. The model-based optimal problem is first formulated and then converted to be a mixed integer nonlinear programming problem. The proposed method provides an optimal solution regarding to how many and which available pumps should be put into operation when the (head) demand to the system and/or system operating condition changes. The running speeds of operating pumps are also derived by the proposed algorithm. A feedback control mechanism is also introduced into the considered framework in order to enhance the system tracking performance and robustness. A nonlinear programming solution is derived and implemented in a testing facility. The experimental results show a clear and huge potential to improve multi-pump system´s efficiency using the proposed algorithm and framework.
  • Keywords
    energy conservation; feedback; hydraulic control equipment; integer programming; linear programming; optimal control; pumps; robust control; scheduling; velocity control; energy efficiency; feedback control; mixed integer nonlinear programming; multipump boosting system; operating pump speed; optimal scheduling; robustness; system tracking performance; Control systems; IEEE Potentials; Mathematical model; Optimal scheduling; Power demand; Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2010 IEEE International Conference on
  • Conference_Location
    Yokohama
  • Print_ISBN
    978-1-4244-5362-7
  • Electronic_ISBN
    978-1-4244-5363-4
  • Type

    conf

  • DOI
    10.1109/CCA.2010.5611177
  • Filename
    5611177