• DocumentCode
    3363053
  • Title

    Voltage Sag Disturbance Detection Based on RMS Voltage Method

  • Author

    Ding Ning ; Cai Wei ; Suo Juan ; Wang Jianwei ; Xu Yonghai

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper analyses the different voltage sag phenomenon of the different voltage sag sources and summarizes the characteristics of the different voltage sag sources, including the amplitude of the voltage sag, the swell happening at the same time of the sag, the characteristics of the voltage changes during the sag and the three phases voltage balance or not. Most of the existing voltage sag source recognition methods and their disadvantages and application have been analyzed in this paper. Considering that in actual power quality monitoring network, many monitoring equipments only can provide parts of the voltage sag data, so a simple and practical method is proposed in this paper. Only the RMS voltages are calculated in this method. Based on the different voltage sag amplitudes, the voltage jump happening at the end of the sag(or the voltage changes in trends during the sag), the different deviations of the three-phase voltages and some other characters according to different sources, the characteristic value corresponding can be extracted, and then the classification of voltage sag caused by the short-faults, transformers energizing and large-capacity induction motor starting can be realized. The correctness of the method is proved by simulations.
  • Keywords
    induction motors; mean square error methods; power supply quality; power system measurement; transformers; RMS voltage method; large-capacity induction motor; monitoring equipments; power quality monitoring network; short-faults; three phases voltage balance; transformers energizing; voltage jump; voltage sag disturbance detection; Artificial neural networks; Gas detectors; Induction motors; Monitoring; Power engineering and energy; Power quality; Threshold voltage; Transformers; Voltage fluctuations; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918960
  • Filename
    4918960