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    Offline to Online Mechanical Deformation Diagnosis for Power Transformers

    Access Status
    Fulltext not available
    Authors
    Hashemnia, Seyednaser
    Masoum, Mohammad Sherkat
    Abu-Siada, Ahmed
    Islam, Syed
    Date
    2014
    Type
    Conference Paper
    
    Metadata
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    Citation
    Hashemnia, S. and Masoum, M.S. and Abu-Siada, A. and Islam, S. 2014. Offline to Online Mechanical Deformation Diagnosis for Power Transformers, in Australasian Universities Power Engineering Conference 2014, Sep 28 2014. Perth, Western Australia: IEEE.
    Source Title
    Proceedings of Australasian Universities Power Engineering Conference, AUPEC 2014
    Source Conference
    Australasian Universities Power Engineering Conference 2014
    DOI
    10.1109/AUPEC.2014.6966530
    ISBN
    978-0-646-92375-8
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/7260
    Collection
    • Curtin Research Publications
    Abstract

    Internal winding deformations of power transformers can be detected using the conventional offline frequency response analysis (FRA) which is a well-known and widely accepted tool for the detection of winding and core deformations. In addition of being offline technique, interpretation of FRA signature is based on graphical analysis that requires skilled personnel as there is no reliable standard code for FRA signature identification and quantification. This paper presents the possibility of using an alternative online technique based on construction a voltage-current (ΔV-I) locus of the operating transformer and considering it as a reference signature. In order to fully explore the performance and reliability of the new proposed approach particularly for real-life distribution transformers, the paper investigates and compares the performance of the proposed and the FRA approaches for disk space variation and axial displacement faults. The transformer distributed parameter model is used to simulate FRA signatures while a detailed three-dimensional finite element model is used to generate the ΔV-I louses for healthy and faulty operating conditions. Simulation results are compared to highlight the advantages and limitations of the two internal fault detection strategies.

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