• DocumentCode
    2130800
  • Title

    Islanding detection for utility interconnection of multiple distributed generators

  • Author

    Viet, Dung Tran Khanh ; Agbossou, Kodjo ; Doumbia, Mamadou Lamine

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. du Quebec a Trois-Rivieres, Trois-Rivieres, QC
  • fYear
    2008
  • fDate
    4-7 May 2008
  • Abstract
    At present, islanding detection is one of the important research orientations in the area of distributed generation (DG). There exist currently in the literature several methods for islanding detection in the case of single distributed generator connected to a utility grid. These methods are classified as active, passive and methods installed on the utility. However, these methods have limitations or become ineffective in the case of multiple distributed generators connected to the same point of the utility grid because of the interferences between sources. In this paper, we present a robust islanding detection method based on the correlation technique. Analytical and simulation studies were performed in order to validate the accuracy of the method. The results showed that this method behaves well in the case of multiple distributed generators connected to the utility grid even in the critical situations i.e. when the power of the load is provided solely by the distributed generator.
  • Keywords
    distributed power generation; power grids; power system interconnection; correlation technique; islanding detection; multiple distributed generators; utility grid; utility interconnection; Distributed control; Distributed power generation; Impedance; Interference; Mesh generation; Phase detection; Phase frequency detector; Power generation; Robustness; Voltage; Islanding detection; anti-islanding protection; correlation technique; multiple distributed generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-1642-4
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2008.4564596
  • Filename
    4564596