• DocumentCode
    2681744
  • Title

    New assessment and prediction for arc furnace flicker

  • Author

    Guan, J.L. ; Gu, J.C. ; Yang, M.T. ; Chang, H.H.

  • Author_Institution
    Hwa Hsia Inst. of Technol., Taipei
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    This investigation discussed the load characteristics of EAFs as determined by field measurement and found that the electrical characteristic of the EAF load doesn´t totally conform to the Gauss distribution probability mode. This paper suggest that the scaling factor-1.8, arrived at herein, is adopted to replace a traditional scaling factor-3.6 when doing the transformation between DeltaVmax and DeltaV10max. The survey results max demonstrate that variations of active power and reactive power of EAFs are strongly alike. Meanwhile, an DeltaV10 estimate must account for the effect of active power variation. This paper proposes the maximum complex apparent power fluctuation method to overcome the disadvantages of the traditional method. This revised method reduces the differences between the estimated voltage flicker and the surveyed value of the actual EAF operation. Restated, MAPFM can react to the actual voltage fluctuation during the operation of EAF. Furthermore, surveyed results reveal that the revised method can yield more accurate DeltaV10 estimates than traditional method
  • Keywords
    Gaussian distribution; arc furnaces; reactive power; Gauss distribution probability mode; active power; apparent power fluctuation method; arc furnace flicker; field measurement; reactive power; voltage flicker estimation; Electric variables; Electric variables measurement; Furnaces; Gaussian distribution; Manufacturing; Power system modeling; Production facilities; Reactive power; Steel; Voltage fluctuations; ΔV; flicker estimate; maximum complex apparent power fluctuation method (MCAPFM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709448
  • Filename
    1709448