• DocumentCode
    3475093
  • Title

    A phase selector based on mathematical morphology for double circuit transmission lines

  • Author

    Lu, Z. ; Tang, W.H. ; Ji, T.Y. ; Jiang, L. ; Wu, Q.H.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Liverpool Univ., Liverpool
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    2322
  • Lastpage
    2327
  • Abstract
    There are problems arising in fault type classification in double circuit transmission lines due to the mutual coupling between the two circuits under fault conditions. A novel fault phase selection scheme is proposed in this paper, which provides an approach to accurately classify the fault types by dealing with six-phase and a model currents using a morphological transformation. The fault characteristics can be effectively extracted from the associating currents by the morphological transformation. The fault phase selection scheme is tested on a simulation model under different fault types, location, resistance and inception angle. All the test results show that the proposed scheme is well suited for classifying fault types in double circuit transmission lines.
  • Keywords
    mathematical morphology; power transmission faults; double circuit transmission lines; fault phase selection scheme; fault type classification; mathematical morphology; morphological transformation; resistance-inception angle; Artificial neural networks; Circuit faults; Circuit simulation; Circuit testing; Distributed parameter circuits; Fault diagnosis; Morphology; Mutual coupling; Signal analysis; Signal resolution; Fault classification; double circuit transmission lines; mathematical morphology; modal transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523799
  • Filename
    4523799