• DocumentCode
    252155
  • Title

    Analysis and comparison of two active anti-islanding detection methods

  • Author

    Xiao Li ; Balog, Robert S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    443
  • Lastpage
    446
  • Abstract
    Anti-islanding detection is essential for grid connected inverter to avoid substantial safety accident. Many Anti-islanding methods available nowadays are proposed based on ideal grid and load conditions. Then most of them have weaknesses as high sensitivity to grid distortion in grid-connection state. This will certainly limit their wide application in some aspects. Active Frequency Drift (AFD) and Reactive power variation method (RPV) are two promising active anti-islanding detection methods. In this paper, the performance of these two methods under various extreme conditions are considered and compared, including different grid distortion conditions, different loading conditions. Test results are given by means of figures and tables to show clearly the final conclusion.
  • Keywords
    distributed power generation; invertors; power grids; renewable energy sources; active anti islanding detection methods; active frequency drift method; distributed generation power systems; grid connected inverter; grid distortion conditions; grid-connection state; reactive power variation method; renewable energy systems; IEEE standards; Inverters; Islanding; Load modeling; Reactive power; Reliability; Resonant frequency; Active frequency drift; Anti-islanding; Comparison; Extreme conditions; Grid distortion; Nonedection Zone; Reactive power variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on
  • Conference_Location
    College Station, TX
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4799-4134-6
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2014.6908447
  • Filename
    6908447