• DocumentCode
    3197785
  • Title

    Prediction of voltage sag in the transmission system of Vietnam, A case study

  • Author

    Khanh, Bach Quoc ; Phuc, Nguyen Hong

  • Author_Institution
    Electr. Power Syst. Dept., Hanoi Univ. of Sci. & Technol., Hanoi, Vietnam
  • fYear
    2011
  • fDate
    20-23 March 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, a novel effort for prediction of voltage sag in the entire transmission system of Vietnam is presented. As the Vietnamese electricity industry moves toward the electricity market, prediction will help utilities have early assessment of power quality in transmission system. The proposed prediction approach uses a fault position method in which the fault distribution in the transmission system is created based on an actual fault occurrence in the entire 220kV and 500kV transmission system throughout Vietnam that took place in 2008. The research also makes use of the SARFICURVE with ITIC and SEMI curve, which takes into account of the actual fault clearing time of protective devices used in transmission system in Vietnam. By using SARFICURVE, a better assessment of voltage sag performance is obtained in the transmission system with regard to load´s voltage tolerance.
  • Keywords
    power markets; power supply quality; power transmission faults; power transmission protection; Vietnam; electricity industry; electricity market; fault distribution; fault position method; power quality; protective device; transmission system; voltage 220 kV; voltage sag; Circuit faults; Integrated circuit modeling; Load modeling; Power quality; Substations; Voltage fluctuations; Voltage measurement; ITIC; SEMI curve; fault clearing time; fault distribution; power quality; stochastic prediction; transmission system; voltage sag frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition (PSCE), 2011 IEEE/PES
  • Conference_Location
    Phoenix, AZ
  • Print_ISBN
    978-1-61284-789-4
  • Electronic_ISBN
    978-1-61284-787-0
  • Type

    conf

  • DOI
    10.1109/PSCE.2011.5772581
  • Filename
    5772581