International Journal of Engineering Science and Applied Mathematics (IJESAM)

COMPREHENSIVE DIAGNOSTIC ASSESSMENT OF A SUSPECTED FAULTY 1600KVA, 33/0.415KV TRANSFORMER AT DRUGFIELD SUBSTATION

Authors

  • Jokojeje Rufus Akinnusimi Department of Electrical and Electronics Engineering, School of Engineering, Moshood Abiola Polytechnic, Abeokuta.
  • Adenekan Olujide A Department of Electrical and Electronics Engineering, School of Engineering, Moshood Abiola Polytechnic, Abeokuta.
  • Akinleye Temitope Grace Department of Electrical and Electronics Engineering, School of Engineering, Moshood Abiola Polytechnic, Abeokuta

Abstract

Power transformers are pivotal assets in electrical power networks, and their reliability is fundamental to power delivery system stability, safety, and efficiency. This paper presents a comprehensive diagnostic evaluation of a 1600-KVA, 33/0.415-kV Siemens oil-immersed distribution transformer at Drugfield Substation, Nigeria, following reports of operational anomalies. A suite of industry-standard diagnostic tests—including physical inspection, insulation resistance, winding continuity, single-phase transformation ratio, excitation, and earth resistance—was conducted. The results revealed catastrophic high-voltage winding insulation failure, significant HV winding resistance imbalance, and severe transformation ratio discrepancies. These findings indicate that advanced internal faults, including insulation breakdown, winding degradation, and probable open circuits, pose imminent operational and safety risks. This study underscores the importance of regular transformer health assessments, presents a mathematical framework for interpreting diagnostic data, and recommends immediate decommissioning or overhaul of the affected unit. The broader implications for asset management and grid reliability are discussed, with recommendations for advanced diagnostic and monitoring strategies.

Keywords:

Transformer diagnostics, insulation resistance, winding degradation, fault analysis, operational risk, asset management

Published

2025-07-17

DOI:

https://doi.org/10.5281/zenodo.16028643

How to Cite

Akinnusimi, J. R., Adenekan , O. A., & Akinleye , T. G. (2025). COMPREHENSIVE DIAGNOSTIC ASSESSMENT OF A SUSPECTED FAULTY 1600KVA, 33/0.415KV TRANSFORMER AT DRUGFIELD SUBSTATION. International Journal of Engineering Science and Applied Mathematics (IJESAM), 16(7), 1–7. https://doi.org/10.5281/zenodo.16028643

References

Tenbohlen, S., & Koch, M. (2009). Aging performance of oil-immersed power transformers. IEEE Electrical Insulation Magazine, 25(2), 24–35. https://doi.org/10.1109/MEI.2009.4819143

Wang, M., Vandermaar, A. J., & Srivastava, K. D. (2002). Review of condition assessment of power transformers in service. IEEE Electrical Insulation Magazine, 18(6), 12–25. https://doi.org/10.1109/57.1046622

Jarman, P. and Allan, D. (2015). The transformer failure analysis. In the CIGRE Technical Brochure 630. CIGRE.

CIGRE Working Group A2.37. (2015). Transformer reliability survey (CIGRE Brochure No. 642).

Institute of Electrical and Electronics Engineers. (2020). IEEE standard for liquid-immersed distribution transformers (IEEE Std C57.12.00-2020). IEEE. https://doi.org/10.1109/IEEESTD.2020.9046257

Kelly, J. J. (1980). Transformer fault diagnosis by dissolved gas analysis. IEEE Transactions on Industry Applications, IA-16(6), 777–782. https://doi.org/10.1109/TIA.1980.4503990

Ryder, A. (2003). On-load tapchangers for power transformers (IET Power and Energy Series 36). Institution of Engineering and Technology.

Duval, M. (2002). A review of faults detectable by gas-in-oil analysis in transformers. IEEE Electrical Insulation Magazine, 18(3), 8–17. https://doi.org/10.1109/MEI.2002.1014966

Gupta, B. (2012). Power system analysis and design. S. Chand Publishing.

Ryder, S. (2018). Diagnosing transformer problems. Electrical Review, 223(2), 34–39.

Lapworth, J. A. (2003). Transformer oil testing. IEEE Electrical Insulation Magazine, 19(5), 22–28. https://doi.org/10.1109/MEI.2003.1235693

Gubanski, S. M. (2000). Modern techniques for diagnosing transformer insulation. IEEE Transactions on Dielectrics and Electrical Insulation, 7(5), 689–696. https://doi.org/10.1109/94.879358

Emsley, A. M., & Stevens, G. C. (2000). Review of chemical indicators of degradation of cellulosic insulation in oil-filled transformers. IEE Proceedings - Science, Measurement and Technology, 147(2), 67–75. https://doi.org/10.1049/ip-smt:20000212

Wang, M., & Kang, Q. (2020). Transformer fault diagnosis based on test data. Energies, 13(17), Article 17. https://doi.org/10.3390/en13174369

De León, F., & Semlyen, A. (1992). Transformer modeling for electromagnetic transient. IEEE Transactions on Power Delivery, 7(1), 453–461. https://doi.org/10.1109/61.108938

International Electro technical Commission. (2011). Power transformers–Part 1: General (IEC 60076-1:2011). IEC.

Institute of Electrical and Electronics Engineers. (2013). Guide for diagnostic field testing of fluid-filled power transformers, regulators, and reactors (IEEE Std C57.152-2013). IEEE. https://doi.org/10.1109/IEEESTD.2013.6604105

Wang, H. (2018). Analysis of the transformer ratio and resistance test data. Journal of Electrical Engineering, 69(4), 312–320. DOI: 10.2478/jee-2018-0045

Tenbohlen, S., & Markalous, G. (2012). Advanced diagnostics for power transformers. In CIGRE Session Paper A2-104. CIGRE.studies

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