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An Adaptive Neuro-Fuzzy based Methodology for Harmonic Analysis of a Power Transformer.

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Title: An Adaptive Neuro-Fuzzy based Methodology for Harmonic Analysis of a Power Transformer.
Authors: Urooj, Shabana1, Amir, Mohammad2 md.amir@ieee.orgBmd.amir@ieee.org, Khan, Aiman3, Tariq, Mohd4
Source: Journal of Power Technologies. 2021, Vol. 101 Issue 1, p1-10. 10p.
Subjects: Harmonic analysis (Mathematics), Core materials, Power transformers, Evaluation methodology, Ferrites
Abstract: The interfering nature of harmonics always causes various power quality issues that impacts on both efficiency, and expected transformer life. Optimal analysis of the three-phase core power transformers using harmonic spectrum can limit these power quality issues. This paper designs the Adaptive Neuro-Fuzzy Inference System (ANFIS) based model for the estimation of losses. Further optimal parameters selection of three-phase power transformer using iron and ferrite core materials. This paper demonstrates factors that deteriorate the power quality, responsible for harmonics distortions and inefficiency in power transformers. The proposed ANFIS based analysis provides an optimal solution to harmonic reduction and improves overall efficiency. Also, providing a comparative study of various core parameters that will be suitable for a three-phase core transformer. The proposed parameters are demonstrated for improving the overall transformer efficiency using iron and ferrite core material. ANSYS Maxwell simulation estimates the Total Harmonic Distortion (THD) and enhances THD in contributing to the optimal core material. The design of a three-phase power transformer and the performance evaluation of the proposed methodology performed in MATLAB simulation environment. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Power Technologies is the property of Warsaw University of Technology, Institute of Heat Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: An Adaptive Neuro-Fuzzy based Methodology for Harmonic Analysis of a Power Transformer.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Power+Technologies%22">Journal of Power Technologies</searchLink>. 2021, Vol. 101 Issue 1, p1-10. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Harmonic+analysis+%28Mathematics%29%22">Harmonic analysis (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Core+materials%22">Core materials</searchLink><br /><searchLink fieldCode="DE" term="%22Power+transformers%22">Power transformers</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Ferrites%22">Ferrites</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The interfering nature of harmonics always causes various power quality issues that impacts on both efficiency, and expected transformer life. Optimal analysis of the three-phase core power transformers using harmonic spectrum can limit these power quality issues. This paper designs the Adaptive Neuro-Fuzzy Inference System (ANFIS) based model for the estimation of losses. Further optimal parameters selection of three-phase power transformer using iron and ferrite core materials. This paper demonstrates factors that deteriorate the power quality, responsible for harmonics distortions and inefficiency in power transformers. The proposed ANFIS based analysis provides an optimal solution to harmonic reduction and improves overall efficiency. Also, providing a comparative study of various core parameters that will be suitable for a three-phase core transformer. The proposed parameters are demonstrated for improving the overall transformer efficiency using iron and ferrite core material. ANSYS Maxwell simulation estimates the Total Harmonic Distortion (THD) and enhances THD in contributing to the optimal core material. The design of a three-phase power transformer and the performance evaluation of the proposed methodology performed in MATLAB simulation environment. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Power Technologies is the property of Warsaw University of Technology, Institute of Heat Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 1
    Subjects:
      – SubjectFull: Harmonic analysis (Mathematics)
        Type: general
      – SubjectFull: Core materials
        Type: general
      – SubjectFull: Power transformers
        Type: general
      – SubjectFull: Evaluation methodology
        Type: general
      – SubjectFull: Ferrites
        Type: general
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      – TitleFull: An Adaptive Neuro-Fuzzy based Methodology for Harmonic Analysis of a Power Transformer.
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            NameFull: Amir, Mohammad
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            NameFull: Khan, Aiman
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              M: 01
              Text: 2021
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