• DocumentCode
    647764
  • Title

    Inrush identification by applying improved Morphological Gradient Algorithm

  • Author

    Wu, W.C. ; Ji, T.Y. ; Li, M.S. ; Zhang, Linda L. ; Wu, Q.H.

  • Author_Institution
    Sch. of Electr. Power, South China Univ. of Technol. (SCUT), Guangzhou, China
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Inrush current identification is one of the most important aspects in transformer differential protection. However, the traditional methods of inrush identification are not reliable in some particular cases. This paper presents a novel scheme for three phase transformer protection, which effectively identifies inrush currents. In the proposed method, the improved Morphological Gradient Algorithm is employed to extract the features of inrush. Simulation studies have been performed to demonstrate the accuracy and efficiency of the new approach using PSCAD/EMTDC and MATLAB. The proposed method is able to distinguish between an internal fault and inrush, even under CT saturation condition, and its required calculation is simple.
  • Keywords
    differential transformers; fault diagnosis; gradient methods; mathematical morphology; power transformer protection; CT saturation condition; MATLAB; PSCAD-EMTDC; improved morphological gradient algorithm; inrush current identification; internal fault; three phase transformer protection; transformer differential protection; Circuit faults; Fault currents; Feature extraction; Magnetic cores; Power transformers; Surge protection; Surges; Inrush identification; mathematical morphology; morphological gradient; power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672295
  • Filename
    6672295