• DocumentCode
    985949
  • Title

    Statistical evaluation of lightning overvoltages on overhead distribution lines using neural networks

  • Author

    Martinez, Juan A. ; Gonzalez-Molina, Francisco

  • Author_Institution
    Dept. d´´Enginyeria Electrica, Univ. Politecnica de Catalunya, Barcelona, Spain
  • Volume
    20
  • Issue
    3
  • fYear
    2005
  • fDate
    7/1/2005 12:00:00 AM
  • Firstpage
    2219
  • Lastpage
    2226
  • Abstract
    The evaluation of the lightning performance of overhead distribution lines, usually characterized by a flashover rate, can be a difficult and long task. Due to the random nature of the lightning phenomenon, this evaluation is generally based on statistical calculations. The application of a neural network can shorten and improve the accuracy of the flashover rate calculation. This paper presents a summary of the work performed by the authors to analyze the lightning performance of overhead distribution lines using neural networks.
  • Keywords
    lightning; neural nets; overvoltage; power distribution lines; power engineering computing; power overhead lines; statistical analysis; flashover rate calculation; lightning overvoltages; neural networks; overhead distribution lines; statistical calculations; statistical evaluation; Artificial neural networks; Biological system modeling; Flashover; Lightning; Neural networks; Neurons; Performance analysis; Power distribution lines; Surges; Wires; Distribution overhead lines; electrogeometric model; lightning overvoltages; neural networks;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2005.848734
  • Filename
    1458900