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    A New Approach to Identify Power Transformer Criticality and Asset Management Decision Based on Dissolved Gas-in-Oil Analysis

    Access Status
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    Authors
    Abu-Siada, Ahmed
    Islam, Syed
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Abu-Siada, A. and Islam, S. 2012. A New Approach to Identify Power Transformer Criticality and Asset Management Decision Based on Dissolved Gas-in-Oil Analysis. IEEE Transactions on Dielectrics and Electrical Insulation. 19 (3): pp. 1007-1012.
    Source Title
    IEEE Transactions on Dielectrics and Electrical Insulation
    DOI
    10.1109/TDEI.2012.6215106
    ISSN
    10709878
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/20262
    Collection
    • Curtin Research Publications
    Abstract

    Dissolved gas analysis (DGA) of transformer oil is one of the most effective power transformer condition monitoring tools. There are many interpretation techniques for DGA results. However, all of these techniques rely on personnel experience more than standard mathematical formulation and significant number of DGA results fall outside the proposed codes of the current methods and cannot be diagnosed by these methods. To overcome these limitations, this paper introduces a novel approach using Gene Expression Programming (GEP) to help in standardizing DGA interpretation techniques, identify transformer critical ranking based on DGA results and propose a proper maintenance action. DGA has been performed on 338 oil samples that have been collected from different transformers of different rating and different life span. Traditional DGA interpretation techniques are used in analyzing the results to measure its consistency. These data are then used to develop the new GEP model. Results show that all current traditional techniques do not necessarily lead to the same conclusion for the same oil sample. The new approach using GEP is easy to implement and it does not call for any expert personnel to interpret the DGA results and to provide a proper asset management decision on the transformer based on DGA analysis.

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    • Standardization of DGA interpretation techniques using fuzzy logic approach
      Hmood, S.; Abu-Siada, Ahmed; Masoum, Mohammad Sherkat; Islam, Syed (2012)
      Dissolved gas analysis (DGA) of transformer oil is one of the most effective power transformer condition monitoring tools. There are many interpretation techniques for DGA results. However, all of these techniques rely ...
    • A new fuzzy logic approach for consistent interpretation of dissolved gas-in-oil analysis
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      Frequency Response Analysis (FRA) is the most reliable technique for detecting a mechanical failure within electrical power transformers. Associated literature reports the ability of the FRA technique to identify ...
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