• DocumentCode
    3082782
  • Title

    Research the distortion of applying CVT to measure harmonic in the high-voltage power network

  • Author

    Duan, Xiao-bo ; Wang, Rui ; Li, Xuan

  • Author_Institution
    Hebei Electr. Power Res. Inst., Shijiazhuang, China
  • fYear
    2008
  • fDate
    10-13 Dec. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Simulations of the CVT´s harmonic measurement and analysis of the sensitivity of the main components parameters using the steady-state circuit are taken in this paper. The transformation ratio characteristics have been simulated by using the high-frequency equivalent circuit, and the relationship between the main stray capacitance´s change and the change of CVT´s pass band is analyzed. At the same time, combining the engineering application, this paper proposes to make use of the combination of experimental data with artificial neural network to correct the CVT´s transformation ratio. This method can be used to monitor harmonic chronically through the CVT. Testified by emulators, this method is feasible.
  • Keywords
    artificial intelligence; electric machine analysis computing; equivalent circuits; neural nets; potential transformers; power system harmonics; sensitivity analysis; artificial neural network; harmonic measurement; harmonic monitoring; high-frequency equivalent circuit; high-voltage power network; sensitivity analysis; steady-state circuit; stray capacitance; transformation ratio characteristic; Analytical models; Capacitance; Circuit simulation; Distortion measurement; Equivalent circuits; Harmonic analysis; Harmonic distortion; Power measurement; Power system harmonics; Steady-state; CVT; Harmonic measurement; artificial neural network; capacitor voltage transformer; distortion correction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution, 2008. CICED 2008. China International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-3373-5
  • Electronic_ISBN
    978-1-4244-3372-8
  • Type

    conf

  • DOI
    10.1109/CICED.2008.5211752
  • Filename
    5211752