• DocumentCode
    3046450
  • Title

    Research on power transmission line ice prediction system based on BP Neural Network

  • Author

    Luo, Yi ; Yao, Yi ; Li, Ying ; Zhan, Xu

  • Author_Institution
    Dept. of Electron. Eng., Sichuan Univ. of Since & Eng., Zigong, China
  • Volume
    2
  • fYear
    2012
  • fDate
    18-20 May 2012
  • Firstpage
    817
  • Lastpage
    820
  • Abstract
    As for the great damage to the power grid caused by the ice covered on the transmission Line, there is no proper solution to the problem; this paper presents a transmission line ice monitoring and early warning system based on Neural Network. The system organically combines meteorological information and forecast meteorological information of Ganzi area, taking the wire tension, tilt angle, micro-geographical factors into account, even the decision support system (DSS) is introduced into the system. The system make the appropriate dangerous ice monitoring and forecasting caused by weather conditions by recording a large number of meteorological information and transmission line parameters, so that preventive measures will be taken if the problem occurs, and the harmful levels of ice will be declined.
  • Keywords
    alarm systems; backpropagation; decision support systems; ice; monitoring; neural nets; power engineering computing; power grids; power transmission lines; BP neural network; DSS; Ganzi area; decision support system; early warning system; forecast meteorological information; micro-geographical factors; power grid; power transmission line ice prediction system; tilt angle; transmission line ice monitoring; transmission line parameters; weather conditions; wire tension; Clouds; Forecasting; MATLAB; Monitoring; BP neural network; L-M algorithm; UHV transmission line; ice accretion; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (MIC), 2012 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1601-0
  • Type

    conf

  • DOI
    10.1109/MIC.2012.6273414
  • Filename
    6273414