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

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

Research output: Contribution to journalArticle

18 Citations (Scopus)

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.

LanguageEnglish
Pages309-312
Number of pages4
JournalIEE Proceedings Generation Transmission and Distribution
Volume152
Issue number3
DOIs
Publication statusPublished - 2005

Fingerprint

Condition monitoring
Dielectric losses
Electric potential
Monitoring
Physics
Computer simulation

Keywords

  • condition monitoring
  • power engineering computing
  • power apparatus
  • harmonic distortion
  • digital simulation
  • dielectric loss measurement

Cite this

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AB - 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.

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