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    High frequency transformer modelling using state space representation for FRA studies

    Access Status
    Open access
    Authors
    Abu-Siada, Ahmed
    Date
    2017
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Abu-Siada, A. 2017. High frequency transformer modelling using state space representation for FRA studies, in Proceedings of the 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Aug 29-Sep 1 2017, pp. 422-426. Tinos, Greece: IEEE.
    Source Title
    IEEE International Symposium on Diagnostics, Power Electronics and Drives
    DOI
    10.1109/DEMPED.2017.8062389
    School
    Department of Electrical and Computer Engineering
    Remarks

    © 2017 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/20.500.11937/59207
    Collection
    • Curtin Research Publications
    Abstract

    The concept of Frequency Response Analysis (FRA) has been widely accepted as a reliable diagnostic tool to detect winding and core deformations within power transformers. While the measurement of transformer FRA signatures has been standardized since the development of advanced frequency response analyzers, interpretation of the FRA signature which is provided as a graphical plot is still challenging. At this stage there is no interpretation code for FRA signatures published and widely accepted yet. To develop such codes, impact of various mechanical deformations on the FRA signature must be well investigated and fully understood through simulation analysis and practical measurement. For simulation analysis, a reliable high frequency transformer model is essential. This paper presents a state space representation for high frequency transformer model in which the physical meaning of the model parameters facilitates identification of the problem within the transformer. Various mechanical faults are simulated into the model to investigate their impacts on the FRA signature.

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