• DocumentCode
    637374
  • Title

    Relationships among transmission line icing and meteorological factors based on the grey relational analysis

  • Author

    Hui Dong ; Qiping Yang ; Zhengwen Deng ; Danfeng Xu

  • Author_Institution
    Sch. of Electr. Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
  • fYear
    2012
  • fDate
    18-20 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper describes the studies of the transmission line icing in recent years. Because the correlations among transmission line icing and meteorological factors are poor and the main influential factors can not be determined, they are often limited to qualitative description. In this paper, a synthetic grey relational analysis method is proposed. According to the transmission line online monitoring data, the associate degree among transmission line icing and meteorological factors would be determined, and to obtain the main meteorological influential factor during the icing monitoring period. Further, the example is used to prove that the application of the synthetic grey relational analysis method to study on the icing and meteorological factors is feasible and effective.
  • Keywords
    freezing; grey systems; ice; meteorology; power transmission lines; icing monitoring period; main meteorological influential factor; meteorological factor; qualitative description; synthetic grey relational analysis method; transmission line icing; transmission line online monitoring data; Humidity; Meteorological factors; Power transmission lines; Temperature; Wind speed; Wires; degree of incidence; icing; meteorological factors; synthetic grey relational analysis; transmission line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Automation Conference (PEAM), 2012 IEEE
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-1599-0
  • Type

    conf

  • DOI
    10.1109/PEAM.2012.6612426
  • Filename
    6612426