• DocumentCode
    2118722
  • Title

    A novel method for equipment sensitivity study during power quality events

  • Author

    Kezunovic, Mladen ; Liao, Yuan

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    993
  • Abstract
    This paper presents a new simulation method for performing an equipment sensitivity study during power quality events. Power quality waveform events such as voltage sags, swells, transients, etc. may cause sensitive loads to trip or mis-operate. For better coordination between the system and the equipment, it is necessary that the effects of specific events on the equipment behavior be thoroughly evaluated. This paper serves such a purpose. A library has been designed for generating various types of event waveforms. By imposing these waveforms on the equipment and tuning various waveform features, the equipment behavior can be correlated to specific event parameters. Methods and case studies as well as software implementation issues in the MATLAB environment are illustrated. It is concluded that the proposed approach is flexible and feasible for practical applications
  • Keywords
    power supply quality; power system simulation; power system transients; sensitivity analysis; signal generators; signal processing; MATLAB environment; equipment behavior; equipment sensitivity; power quality events; power quality waveform events; sensitive loads; signal generators; signal processing; simulation method; software implementation; specific event parameters; transients; voltage sags; voltage swells; Application software; Character generation; Discrete event simulation; Induction generators; MATLAB; Power quality; Signal generators; Software libraries; USA Councils; Voltage fluctuations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Winter Meeting, 2000. IEEE
  • Print_ISBN
    0-7803-5935-6
  • Type

    conf

  • DOI
    10.1109/PESW.2000.850072
  • Filename
    850072