• DocumentCode
    1179272
  • Title

    Stochastic harmonic analysis of mass rapid transit power systems with uncontrolled rectifiers

  • Author

    Chen, C.S. ; Chuang, H.J. ; Shiau, H.M.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
  • Volume
    150
  • Issue
    2
  • fYear
    2003
  • fDate
    3/1/2003 12:00:00 AM
  • Firstpage
    224
  • Lastpage
    232
  • Abstract
    The stochastic harmonic distortion of a mass rapid transit (MRT) system is investigated by considering the dynamic load behaviour of train sets. A mathematical model of 12-pulse uncontrolled rectifiers without interphase transformers is derived and applied to the harmonic load flow analysis to workout the power demand and the harmonic injection currents at traction substations for each time snapshot. According to the mean values and standard deviation of harmonic currents, the stochastic harmonic load flow analysis is performed to find the average and the confidence interval of harmonic voltage distortion for all system buses. A comparison with the conventional harmonic load flow analysis, which considers only the average load demand and the mean harmonic injection current, reveals that the method proposed can evaluate the voltage harmonic distortion of the system more accurately to provide better guidance for the strategy of harmonic mitigation.
  • Keywords
    harmonic analysis; harmonic distortion; harmonics suppression; power system harmonics; rapid transit systems; stochastic processes; traction power supplies; 12-pulse uncontrolled rectifiers; dynamic load behaviour; harmonic injection currents; harmonic load flow analysis; harmonic mitigation; harmonic voltage distortion; mass rapid transit power systems; mathematical model; power demand; stochastic harmonic analysis; stochastic harmonic load flow analysis; system buses; traction substations; train sets;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20030116
  • Filename
    1193644