• DocumentCode
    680515
  • Title

    A new fast approach for islanding detection in the distribution networks with high penetration of distributed generation

  • Author

    Vatani, M.R. ; Sanjari, M.J. ; Gharehpetian, G.B. ; Moghani, Javad Shokrollahi

  • Author_Institution
    Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
  • fYear
    2013
  • fDate
    17-18 Dec. 2013
  • Firstpage
    241
  • Lastpage
    245
  • Abstract
    This paper presents a new method for islanding detection in Microgrids with multiple distributed generations. The proposed method is based on feature extraction from power system current that is measured after distribution system circuit breaker. Comparing with traditional methods, because of changing in measuring point of current signal and using its transient data, this new method detects the islanding conditions faster. The method is simulated by PSCAD/EMTDC software and the utility current signal is processed by discrete wavelet transform by MATLAB TOOLBOX. The results have been compared with another method to show the speed and accuracy of the proposed method in islanding detection. Ability of this method for islanding detection in the network with multiple DGs is indicated by the results.
  • Keywords
    circuit breakers; discrete wavelet transforms; distributed power generation; feature extraction; Matlab toolbox; PSCAD-EMTDC software; current signal measuring point; discrete wavelet transform; distribution networks; distribution system circuit breaker; feature extraction; high distributed generation penetration; islanding detection; microgrids; power system current; transient data; utility current signal; Circuit breakers; Current measurement; Discrete wavelet transforms; Feature extraction; Power systems; Feature extraction; Islanding detection; Microgrid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Conference (SGC), 2013
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-3039-5
  • Type

    conf

  • DOI
    10.1109/SGC.2013.6733816
  • Filename
    6733816