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      Methodology to locate and quantify radial winding deformation in power transformers

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          Abstract

          Frequency response analysis (FRA) is a tool that can be used to detect changes within the structural geometry of a transformer. One application of FRA is to detect winding displacement after the transformer experiences an overcurrent event. This paper proposes a methodology which will facilitate both locating and quantifying winding deformation. The procedure is based on the fitting of a Gray Box transformer model to FRA measurements which were recorded both before and after the fault. Subtle variation in key parameters of the model can then be used to quantify winding deformation severity. The research will demonstrate the applicability of this approach to a wide range of transformer applications by using FRA from a modified 1.3 MVA distribution transformer, and assessing the change in key parameters relative to the emulated buckling introduced to the windings. The authors propose that this approach is ideally suited for use within an automated diagnostic system which will locate, diagnose and quantify winding deformation within power transformers.

          Most cited references24

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          Review of condition assessment of power transformers in service

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            Transformer Diagnostic Testing by Frequuency Response Analysis

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              Diagnosing transformer faults using frequency response analysis

              S.A. Ryder (2003)
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                Author and article information

                Contributors
                Journal
                HVE
                High Voltage
                High Volt.
                The Institution of Engineering and Technology
                2397-7264
                March 2017
                : 2
                : 1
                : 17-24
                Affiliations
                School of Electrical and Computer Engineering, University of Newcastle , Callaghan, N.S.W 2308, Australia
                Article
                HVE.2016.0085 HVE.2016.0085.R1
                10.1049/hve.2016.0085
                dd19d090-0b4c-4b9b-b32d-3a69114df338

                This is an open access article published by the IET and CEPRI under the Creative Commons Attribution-NonCommercial-NoDerivs License ( http://creativecommons.org/licenses/by-nc-nd/3.0/)

                History
                : 12 November 2016
                : 23 January 2017
                : 29 January 2017
                Categories
                Research Articles

                Computer science,Engineering,Artificial intelligence,Electrical engineering,Mechanical engineering,Renewable energy
                automated diagnostic system,FRA measurement,overcurrent protection,fault location,transformer windings,overcurrent event,radial winding deformation quantification,transformer structural geometry,power transformer,winding displacement detection,apparent power 1.3 MVA,distribution transformer,gray box transformer model fitting,power transformer protection,frequency response analysis,radial winding deformation location,buckling,frequency response

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