• DocumentCode
    2792655
  • Title

    A passive islanding detection index based on variation of signal energy

  • Author

    Liu, Ning ; Aljankawey, A.S. ; Diduch, C.P. ; Chang, L. ; Su, Jianhui ; Yu, Miao

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of New Brunswick-Fredericton, Fredericton, NB, Canada
  • fYear
    2012
  • fDate
    25-28 June 2012
  • Firstpage
    364
  • Lastpage
    367
  • Abstract
    A new index for passive islanding detection is proposed. The approach exploits the inherent harmonic distortion produced by grid-connected power converters as well as the frequency dependent changes in the grid impedance as seen by the distributed generator before and following islanding. The new index is computed from the variation of signal energy over a certain band of frequencies contained within a virtual power signal. The virtual power signal is obtained from measurements of voltage and current at the point of common coupling. The approach is validated via simulation and is demonstrated on a 7kW distributed generator system.
  • Keywords
    distributed power generation; electric current measurement; harmonic distortion; power convertors; voltage measurement; current measurement; distributed generator; grid connected power converters; grid impedance; inherent harmonic distortion; passive islanding detection index; point of common coupling; power 7 kW; signal energy; virtual power signal; voltage measurement; Distributed power generation; Generators; Harmonic analysis; Impedance; Indexes; Real time systems; Voltage measurement; Passive islanding detection; distributed generation; grid impedance; harmonics; variation of signal energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics for Distributed Generation Systems (PEDG), 2012 3rd IEEE International Symposium on
  • Conference_Location
    Aalborg
  • Print_ISBN
    978-1-4673-2021-4
  • Electronic_ISBN
    978-1-4673-2022-1
  • Type

    conf

  • DOI
    10.1109/PEDG.2012.6254027
  • Filename
    6254027