• DocumentCode
    1189750
  • Title

    Arc-furnace model for the study of flicker compensation in electrical networks

  • Author

    Montanari, G.C. ; Loggini, M. ; Cavallini, A. ; Pitti, L. ; Zaninelli, D.

  • Author_Institution
    Istituto di Elettrotecnica Ind., Bologna Univ., Italy
  • Volume
    9
  • Issue
    4
  • fYear
    1994
  • fDate
    10/1/1994 12:00:00 AM
  • Firstpage
    2026
  • Lastpage
    2036
  • Abstract
    This paper presents an arc-furnace model consisting of nonlinear, time varying resistance where time-variation laws of arc length are considered. One consists of a periodic, sinusoidal law, the other of a band-limited white-noise law. The arc-furnace model is implemented by EMTP, referring to actual electric-plant configurations. Simulations are reported where the values of flicker sensation and short-term flicker severity PST, are determined according to UIE specifications. The results show that the model based on the sinusoidal time-variation law can be useful for worst-case approximations, while the model using white-noise law is able to fit flicker measurements made in electric plants supplying arc furnaces. The models are used to investigate the effect on flicker compensation of the insertion of series inductors at the supply side of the furnace transformer. It is shown that considerable reduction of PST is obtained at the point of common coupling by series inductor installation at constant furnace active power
  • Keywords
    arc furnaces; digital simulation; electric resistance; flicker noise; power inductors; power system analysis computing; white noise; EMTP; UIE specifications; arc length; arc-furnace model; band-limited white-noise law; electric plants; electrical networks; flicker compensation; flicker sensation; furnace transformer; nonlinear time varying resistance; point of common coupling; series inductors; short-term flicker severity; sinusoidal time-variation law; time-variation laws; white-noise law; worst-case approximations; EMTP; Electric resistance; Electric variables measurement; Frequency; Furnaces; Humans; Inductors; Intelligent networks; Power system modeling; Voltage fluctuations;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.329535
  • Filename
    329535