• DocumentCode
    942340
  • Title

    Definition and digital algorithms of dielectric loss factor for condition monitoring of high-voltage power equipment with harmonics emphasis

  • Author

    Li, Q. ; Zhao, T. ; Siew, W.H.

  • Author_Institution
    Sch. of Electr. Eng., Shandong Univ., Jinan, China
  • Volume
    152
  • Issue
    3
  • fYear
    2005
  • fDate
    5/6/2005 12:00:00 AM
  • Firstpage
    309
  • Lastpage
    312
  • Abstract
    Experience and applications of currently available methods for online monitoring and diagnostics of high-voltage power apparatus are briefly reviewed. Based on dielectric physics, a new definition of dielectric loss factor with harmonics emphasis is proposed to evaluate the operational conditions of power apparatus on a more reasonable basis, along with corresponding digitised algorithms. Two approaches, namely the decoupling algorithm and the approximating algorithm, are presented to implement the methodologies with the new definition of dielectric loss factor. The impact of background noise and power-frequency fluctuation on estimation accuracy are analysed by computer simulations, showing better application qualities of the approximating algorithm than the decoupling algorithm. A comprehensive strategy of simultaneous monitoring of sum current, dielectric loss factor, resistive current and capacitive current is recommended to give an effective assessment and diagnosis.
  • Keywords
    condition monitoring; dielectric loss measurement; digital simulation; harmonic distortion; power apparatus; power engineering computing; approximating algorithm; background noise; capacitive current; computer simulations; decoupling algorithm; dielectric loss factor; dielectric physics; digital algorithms; harmonics emphasis; high-voltage power equipment; online condition monitoring; power-frequency fluctuation; resistive current;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20045043
  • Filename
    1453823