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    Identification of Composite Insulator Criticality based on a new Leakage Current Diagnostic Index

    84433.pdf (1.551Mb)
    Access Status
    Open access
    Authors
    Palangar, M.F.
    Amin, U.
    Bakhshayesh, H.
    Ahmad, G.
    Abu-Siada, Ahmed
    Mirzaie, M.
    Date
    2021
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Palangar, M.F. and Amin, U. and Bakhshayesh, H. and Ahmad, G. and Abu-Siada, A. and Mirzaie, M. 2021. Identification of Composite Insulator Criticality based on a new Leakage Current Diagnostic Index. IEEE Transactions on Instrumentation and Measurement. 70: Article No. 9004110.
    Source Title
    IEEE Transactions on Instrumentation and Measurement
    DOI
    10.1109/TIM.2021.3096869
    ISSN
    0018-9456
    Faculty
    Faculty of Science and Engineering
    School
    School of Electrical Engineering, Computing and Mathematical Sciences (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/84570
    Collection
    • Curtin Research Publications
    Abstract

    In this article, a new method is proposed to identify the health condition of composite insulators through investigating the leakage current (LC) along with the electric potential (EP) and electric field stress (EFS) profiles. In this regard, variations of the LC harmonics and the distribution profiles of the EP and EFS are investigated through a series of experimental and simulation analyses conducted on composite insulators under various environmental and pollution conditions. Fast Fourier transform (FFT) and a COMSOL-multiphysics environment are utilized to analyze this variation. The results reveal a strong correlation between the LC harmonics and the insulator health condition. A new diagnostic criticality index based on the third to the fifth harmonic ratios of the insulator LC is proposed to quantify the composite insulator criticality and predict the likelihood of flashover occurrence. The EP and EFS analyses can be used to provide a complementary diagnosis of the insulator’s health state under severe pollution and humidity conditions. The proposed analysis enables the transmission line network operator to get an insight into the insulators’ functional status, thus improving the network reliability through avoiding insulator failure and adopting a proper condition-based maintenance scheme.

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