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Testing and diagnostic out of the service power transformer using a sweep frequency response analysis (SFRA) comparing with China standard

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A several diagnostic methods used to evaluate and detect any potential issues or faults in the transformer before they cause significant problems. The research proposal focuses on employing the SFRA (Sweep Frequency Response Analysis) technique, renowned for its exceptional sensitivity and diagnostic capabilities. This method serves to identify the mechanical integrity of the transformer's core, winding distortion, and clamping structures by analyzing their electrical transfer functions across a broad frequency spectrum. By utilizing SFRA, the study aims to accurately predict the internal physical condition of the transformer, making it a highly effective and reliable indicator for assessing its overall health. The motivation of this present work is using all experiments of SFRA were conducted and validated on a three-phase 30kV/0.4KV voltage transformer with 50kVA at the laboratory of Msila university. The result of these experiments is presented and discussed in terms of interpretation the analyses based on different standards.
Czasopismo
Rocznik
Strony
art. no. 2024202
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
  • Laboratory of Electrical Engineering LGE, University of M’sila, Algeria
  • Department of Electrical Engineering, Faculty of Technology, University of M’sila, Algeria
  • Laboratory of Electrical Engineering LGE, University of M’sila, Algeria
autor
  • Laboratory of Electrical Engineering LGE, University of M’sila, Algeria
  • Institute of Electrical and Electronic Engineering, University M’hamed Bougara, Boumerdes, Algeria
autor
  • Institute of Electrical and Electronic Engineering, University M’hamed Bougara, Boumerdes, Algeria
Bibliografia
  • 1. Ibrahim KH, Korany NR, Saleh SM. Effects of power transformer high-frequency equivalent circuit parameters non-uniformity on fault diagnosis using SFRA test. Ain Shams Engineering Journal 2022; 13(4): 101674. https://doi.org/10.1016/j.asej.2021.101674.
  • 2. Almehdhar A, Prochazka R, Vanis M. Application of SFRA method for evaluation of short-circuit tests of power transformers. 2022 International Conference on Diagnostics in Electrical Engineering (Diagnostika).
  • 3. Islam MM, Lee G, Hettiwatte S. A review of condition monitoring techniques and diagnostic tests for lifetime estimation of power transformers. Electrical Engineering 2018; 100: 1-25. https://doi.org/10.1007/s00202-017-0532-4.
  • 4. Yang Q, Su P, Chen Y. Comparison of Impulse Wave and Sweep Frequency Response Analysis Methods for Diagnosis of Transformer Winding Faults. Energies 2017; 10(4): 431. https://doi.org/10.3390/en10040431.
  • 5. Murugan R, Raju R. Evaluation of in-service power transformer health condition for Inspection, Repair, and Replacement (IRR) maintenance planning in electric utilities. International Journal of System Assurance Engineering and Management 2021; 12. https://doi.org/10.1007/s13198-021-01083-1.
  • 6. Elanien AA. Asset management techniques for transformers. Electric Power Systems Research 2010; 80(4): 456-464.
  • 7. Secue J, Mombello E. Sweep frequency response analysis (SFRA) for the assessment of winding displacements and deformation in power transformers. Electric Power Systems Research 2008; 78: 1119-28. https://doi.org/10.1016/j.epsr.2007.08.005.
  • 8. Bjelić M, Brković B, Žarković M, Miljković T. Fault detection in a power transformer based on reverberation time. International Journal of Electrical Power & Energy Systems 2022; 137: 107825. https://doi.org/10.1016/j.ijepes.2021.107825.
  • 9. Khanali M, Hayati-Soloot A, Høidalen HK, Jayaram S. Study on locating transformer internal faults using sweep frequency response analysis. Electric Power Systems Research 2017; 145: 55-62. https://doi.org/10.1016/j.epsr.2016.11.016.
  • 10. Al Murawwi E, Mardiana R, Su C. Effects of Terminal Connections on Sweep Frequency Response Analysis of Transformers. IEEE Electrical Insulation Magazine - IEEE ELECTR INSUL MAGAZINE 2012; 28: 8-13. https://doi.org/10.1109/MEI.2012.6192362.
  • 11. Gouda O, El-Hoshy S, Salem S. Diagnostic Techniques used in Power Transformer Turn to Turn Faults Identification Based on Sweep Frequency Response Analysis (SFRA). 2016. https://doi.org/10.1109/MEPCON.2016.7836880.
  • 12. Kaplin AI, Liberman MYu. New International Electrotechnical Commission standards for regulating acoustic noise and vibration of electric machines. Russian Electrical Engineering 2009; 80(5): 268-72. https://doi.org/10.3103/S1068371209050071.
  • 13. Kraetge, A. Aspects of the practical application of sweep frequency response analysis (SFRA) on power transformers. Cigre 6th Southern Africa Regional Conference, 2009.
  • 14. Cigré W. Mechanical condition assessment of transformer windings using Frequency Response Analysis (FRA). Electra 2008; 228.
  • 15. IEC 60076-18 Ed.1: Power Transformer Part-18. Measurement of Frequency Response, United Kingdom. July 2012.
  • 16. IEEE PC 57.149 Guide for the Application and Interpretation of Frequency Response Analysis for Oil Immersed Transformer. March 2013.
  • 17. FRAX 101 Series Sweep Frequency Response Analysers User Manual.
  • 18. Kraetge A, Kruger M, Fong P. Frequency response analysis - status of the worldwide standardization activities. 2008 International Conference on Condition Monitoring and Diagnosis 2008:651-4. https://doi.org/10.1109/CMD.2008.4580370.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d9835dc3-066b-4230-94a5-385f583dd4dc
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