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    Impact of transformer model parameters variation on FRA signature

    218712_218712.pdf (272.4Kb)
    Access Status
    Open access
    Authors
    Abu-Siada, Ahmed
    Hashemnia, Seyednaser
    Islam, Syed
    Masoum, Mohammad Sherkat
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Abu-Siada, A. and Hashemnia, S. and Islam, S. and Masoum, M.S. 2012. Impact of transformer model parameters variation on FRA signature, in 22nd Australasian Universities Power Engineering Conference 2012 (AUPEC), Sep 26-29 2012. Bali, Indonesia: IEEE.
    Source Title
    Proceedings of the 22nd Australasian Universities Power Engineering Conference
    Source Conference
    22nd Australasian Universities Power Engineering Conference
    Additional URLs
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6360283
    ISBN
    9781921897078
    School
    Department of Electrical and Computer Engineering
    Remarks

    Copyright © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/27581
    Collection
    • Curtin Research Publications
    Abstract

    Power transformers are critical components within the electrical power network. In the event that a failure occurs in service, the impact can be far reaching. Not only causing extended outages, but costly repairs and potentially serious injury or fatality can result. The concept of Frequency Response Analysis (FRA) has been successfully used as a diagnostic technique to detect winding deformation, core and clamping structure for power transformers. However, because FRA has been relying on graphical analysis, it calls for an expert person to analyse the results. So far, there are no standard codes for FRA interpretation. This paper investigates the impact of parameters variation of a high frequency transformer model based on distributed parameters approach on the FRA signature. The physical meaning of the model parameters allows the identification of the problem inside the transformer and helps in establishing a standard code for FRA signature interpretation.

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