• DocumentCode
    3349731
  • Title

    Notice of Retraction
    The operating study of circulating water system based on Particle Swarm Optimization

  • Author

    Wan-yu Tan ; Xiang-ping Meng ; Hui Wang ; Liang Zhao

  • Author_Institution
    Dept. of Electr. Eng., Changchun Inst. of Technol., Changchun, China
  • Volume
    4
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2317
  • Lastpage
    2321
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Circulating cooling water system of large heavy industry had the problem that many pumps of regulating speed operate in higher energy consumption and lower efficiency. The paper analyzed the characteristic of variable speed water pump around the problem. The mathematics model was established with the optimization goal of the lowest energy consumption, which was on the basis of Particle Swarm Optimization and frequency speed control technology, and it simplified inequality constraint condition. It avoided the difficulty of the premature convergence of genetic algorithm through using PSO and improves the global search ability of the algorithm. Simulation results show that it is an effective algorithm to solving optimal problem of many pumps of speed-frequency control in water circulating system.
  • Keywords
    chemical industry; convergence; cooling; electricity supply industry; energy consumption; frequency control; genetic algorithms; metallurgical industries; particle swarm optimisation; pumps; velocity control; water supply; PSO; circulating cooling water system; convergence; energy consumption; frequency speed control technology; genetic algorithm; global search ability; mathematics model; optimization; particle swarm optimization; variable speed water pump; Frequency control; Genetic algorithms; Mathematical model; Particle swarm optimization; Velocity control; Water resources; Frequency Speed control; Particle Swarm Optimization; circulating water system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022556
  • Filename
    6022556