• DocumentCode
    3243978
  • Title

    PSO-based optimal operation strategy of energy saving control for train

  • Author

    Hu, Hui ; Fu, Yin-Ping ; Hu, Chao

  • Author_Institution
    Econ. & Manage. Sch., East China Jiaotong Univ., Nanchang, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1560
  • Lastpage
    1563
  • Abstract
    The typical models and algorithms of energy saving control for a train are introduced and summarized. According to one of energy-efficient mathematical models which usually use GA algorithm to solve, a new algorithm based on particle swarm optimization is applied for the model. Through calculation for a cited example, simulation results such as speed-position curve are got. Compared with other methods, it demonstrates this new PSO-based algorithm has a better performance and can be considered to be put into practical use.
  • Keywords
    energy conservation; genetic algorithms; particle swarm optimisation; railways; GA algorithm; PSO; energy saving control; mathematical models; optimal operation strategy; particle swarm optimization; speed-position curve; train; Microcomputers; Silicon; Energy Saving Control; Optimal Operation Strategy; PSO; Simulation Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6483-8
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2010.5646113
  • Filename
    5646113