• DocumentCode
    2280945
  • Title

    Comparative evaluation of current injection based islanding detection methods for distributed generation systems

  • Author

    Guo, Zhongnan ; Wang, Deyu ; Shen, Hong ; Wang, Huaibao

  • Author_Institution
    Key Lab. of Power Electron. for Energy Conservation & Motor Drive of Hebei Province, Yanshan Univ., Qinhuangdao, China
  • fYear
    2011
  • fDate
    20-23 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Anti-islanding (AI) function is a necessity for distributed generation systems. Current injection based AI methods have been widely used. However, too small current injection may fail to detect the islanding, while too large current injection will lead to the disturbance and poor power quality. On the other hand, d-axis or q-axis current injection can be used, and one may wonder which is preferred? Therefore, this paper presents a quantitative analysis of them from the performance comparative viewpoint. It is expected to provide a helpful guidance for designing the effective AI function for distributed generation systems.
  • Keywords
    distributed power generation; comparative evaluation; current injection based islanding detection methods; distributed generation systems; quantitative analysis; Artificial intelligence; Distributed power generation; Generators; Performance evaluation; Power quality; Q factor; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-1044-5
  • Type

    conf

  • DOI
    10.1109/ICEMS.2011.6073841
  • Filename
    6073841