• DocumentCode
    2079557
  • Title

    The self-organizing neural network applied to adaptive distance protection

  • Author

    Skok, Srdjan ; Martsic, A.

  • Author_Institution
    Dept. of Power Syst., Fac. of Electr. Eng. & Comput., Zagreb, Croatia
  • Volume
    3
  • fYear
    2000
  • fDate
    23-27 Jan 2000
  • Firstpage
    1956
  • Abstract
    This paper elaborates settings and modification of the operating characteristic of adaptive distance relay which protects the transmission line between two terminals. The operating characteristic should have such shape to satisfy all conditions in power system. However it is known that there is no combination of characteristics which can satisfy all possible conditions. So the only solution is modification of the operating characteristic. Solution of this problem involves the self-organizing neural network, the so called Kohonen network. Here, the authors consider a two-terminal transmission line, confirm that fault resistance and location of faults can produce erroneous relay function and finally suggest ways to ensure the generation of the correct signal for relay operation. With the simple simulation it was presented advantages and the credibility of the developed model
  • Keywords
    neurocontrollers; power system relaying; power transmission control; power transmission faults; power transmission lines; power transmission protection; relay protection; self-organising feature maps; Kohonen network; adaptive distance protection; fault location; fault resistance; operating characteristic; power transmission line protection; self-organizing neural network; two-terminal transmission line; Adaptive systems; Artificial neural networks; Digital relays; Impedance; Neural networks; Power system modeling; Power system protection; Power system relaying; Power transmission lines; Protective relaying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Winter Meeting, 2000. IEEE
  • Print_ISBN
    0-7803-5935-6
  • Type

    conf

  • DOI
    10.1109/PESW.2000.847653
  • Filename
    847653