• DocumentCode
    2317461
  • Title

    Outdoor insulation coordination with artificial neural network

  • Author

    Wenxia Sima ; Xingliang Jiang

  • Author_Institution
    Key Lab. of High Voltage & Eng. New Technol., Chongqing Univ., China
  • fYear
    2004
  • fDate
    19-22 Sept. 2004
  • Firstpage
    316
  • Lastpage
    319
  • Abstract
    Based on the tests carried out by simulating icing conditions and low pressure in an artificial climate chamber, this paper presents a new method of outdoor insulation coordination with artificial neural network (ANN). This method employs an ANN model to map the climatic condition and the flashover voltage of an insulator. After the appropriate model is established with training and validating, it can forecast the flashover voltage of an insulator in complex ambient conditions. Then, it puts forwards that using this ANN model is helpful in studying outdoor insulation coordination and analyzing the electrical performance of insulator in complex ambient climatic conditions.
  • Keywords
    flashover; insulation co-ordination; insulator testing; neural nets; artificial climate chamber; artificial neural network; complex ambient climatic conditions; icing conditions; insulator electrical performance; insulator flashover voltage; outdoor insulation coordination; Artificial neural networks; Atmospheric modeling; Dielectrics and electrical insulation; Feedforward neural networks; Flashover; Laboratories; Neural networks; Power system modeling; Predictive models; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation, 2004. Conference Record of the 2004 IEEE International Symposium on
  • ISSN
    1089-084X
  • Print_ISBN
    0-7803-8447-4
  • Type

    conf

  • DOI
    10.1109/ELINSL.2004.1380572
  • Filename
    1380572