• DocumentCode
    2172116
  • Title

    A comparison between different approaches for fault classification in transmission lines

  • Author

    Sudha, G. ; Basavaraju, T.

  • Author_Institution
    B.I.T, V.T.U, Bangalore
  • fYear
    2007
  • fDate
    20-22 Dec. 2007
  • Firstpage
    398
  • Lastpage
    403
  • Abstract
    This paper presents a comparison between different approaches for fault classification in transmission lines. Fault classification is necessary for reliable and high speed protective relaying followed by digital distance protection. Three fault classification techniques are presented for comparison in terms of complexity and time. Firstly, based on evaluation of symmetrical components of fault currents, Secondly by applying wavelet transform on fault voltages and currents subsequently followed by energy computation and thirdly, after modal transformation signal decomposition is performed to determine the energy densities for fault classification. The fault data for various fault locations and fault inception angles is obtained by simulating the power system in MATLAB/SIMULINK. The results show that the last algorithm provides a fast fault classification with adaptive window programming feature.
  • Keywords
    fault currents; fault diagnosis; power transmission faults; power transmission lines; power transmission protection; relay protection; wavelet transforms; adaptive window programming; digital distance protection; fault classification; fault currents; protective relaying; signal decomposition; symmetrical components; transmission lines; wavelet transform; Wavelet transform; modal transformation; multi-level signal decomposition; signal energies; signal energy; symmetrical components;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007. ICTES. IET-UK International Conference on
  • Conference_Location
    Tamil Nadu
  • ISSN
    0537-9989
  • Type

    conf

  • Filename
    4735829