• DocumentCode
    2087761
  • Title

    Probability Distribution of Feeder Current of Electrified Railway Traction

  • Author

    Tang, Kai-lin ; Li, Qun-zhan ; Zhang, Li-yan

  • Author_Institution
    Sch. of Electr. Eng., Southwest Jiao Tong Univ., Chengdu, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Electrified railway traction loads were affected by many factors, so traction feeder currents has the characteristic of random time-varying. This paper analyzes distribution characteristic of traction feeder currents based on a great deal of measured data. Lognormal distribution function was used to fit the probability density of the feeders. Error analysis shows that this method is feasible. Samples of feeder current is obtained by using Monte Carlo method, whicth is helpful for the analysis of power quality of new routes.
  • Keywords
    Monte Carlo methods; error analysis; log normal distribution; railway electrification; traction; Monte Carlo method; electrified railway traction loads; error analysis; lognormal distribution function; power quality; probability distribution; traction feeder currents; Current measurement; Curve fitting; Histograms; Power quality; Probability density function; Probability distribution; Rail transportation; Railway electrification; Random processes; Substations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448217
  • Filename
    5448217