• DocumentCode
    2597201
  • Title

    High speed EMU modeling based on the measured data

  • Author

    Shaobing, Yang ; Mei, Huang ; Mingli, Wu

  • Author_Institution
    Electr. Eng. Sch., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on a large amount of actual measured data on railway line, this paper presents a modeling method using curve-fitting and probabilistic density functions for a high speed EMU. This method better simulates the real world and can be used to build a rapid data exchange between the trains and the traction power system simulation.
  • Keywords
    curve fitting; electric locomotives; harmonics; railway engineering; statistical analysis; traction motors; EMU; curve fitting; data exchange; electric multiple unit train; probabilistic density function; railway line; traction power system; Circuits; Current measurement; Partial response channels; Power system harmonics; Power system modeling; Power system simulation; Rail transportation; Substations; Traction power supplies; Velocity measurement; Harmonic; Modeling; Probabilistic; normal distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5347913
  • Filename
    5347913