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    An On-Line Technique to Detect Winding deformation within Power Transformers

    192500_95178_ES___PSP_Forum-Abu-Siada.pdf (939.7Kb)
    Access Status
    Open access
    Authors
    Abu-Siada, Ahmed
    Date
    2013
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Abu-Siada, A. 2013. An on-line technique to detect winding deformation within power transformers, in IDC Technologies (ed), Electrical Safety and Power System Protection Forum, May 29-30 2013. Perth, Australia: IDC Technologies.
    Source Title
    2013 Electrical Safety and Power System Protection Forum
    Source Conference
    2013 Electrical Safety and Power System Protection Forum
    URI
    http://hdl.handle.net/20.500.11937/33720
    Collection
    • Curtin Research Publications
    Abstract

    Frequency Response Analysis (FRA) has been growing in popularity in recent times as a tool to detect mechanical deformation within power transformers. To conduct the test, the transformer has to be taken out of service which may cause interruption to the electricity grid. Moreover, because FRA relies on graphical analysis, it calls for an expert person to analyse the results as so far, there is no standard code for FRA interpretation worldwide. In this paper an online technique is introduced to detect the internal faults within a power transformer by considering the voltage-current (V-I) locus diagram as a transformer fingerprint that can be measured every cycle to provide a current state of the transformer. The technique does not call for any special equipment as it uses the existing metering devices attached to any power transformer to monitor the input voltage, output voltage and the input current at the power frequency and hence online monitoring can be realised. Various types of faults have been simulated to assess its impact on the proposed locus. A Matlab code based on digital image processing is developed to calculate any deviation of the V-I locus with respect to the reference one and to identify the type of fault. The proposed technique is easy to implement and automated so that the requirement for expert personnel can be eliminated.

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