Transformer Life Prediction Analysis Based on Thermal Aging at PT Ultra Sumatera Dairy Farm

Authors

  • Wageman A. Naiborhu Universitas Pembangunan Panca Budi, Medan, North Sumatera, Indonesia
  • Haris Gunawan Universitas Pembangunan Panca Budi, Medan, North Sumatera, Indonesia
  • Zuraidah Tharo Universitas Pembangunan Panca Budi, Medan, North Sumatera, Indonesia

Keywords:

Transformer, Thermal Aging, IEEE C57.91-2011, Aging Acceleration Factor, Effective Lifespan.

Abstract

A transformer is a vital component in the electrical power distribution system that functions to transfer energy from medium voltage to low voltage. The reliability of a transformer is highly influenced by the thermal condition of its insulation, which determines its service life. This study aims to predict the effective lifespan of a 1250 kVA distribution transformer at PT. Ultra Sumatra Dairy Farm uses the thermal aging method based on the IEEE C57.91-2011 standard. The data used includes nameplate information, daily load profiles, and average ambient temperature. Based on the measurements, the transformer operates at an average load of 422.7 kVA (33.8% of its rated capacity) and an ambient temperature of 23°C. The calculated results show a hottest-spot temperature of 49.55°C with an aging acceleration factor (FAA) of 0.000649. The daily Loss of Life (LOL) value of 0.00000865% indicates that thermal aging occurs very slowly. Based on the Equivalent Aging Factor (FEQA), the theoretical effective lifespan of the transformer reaches approximately 31,660 years. However, in practice, the actual lifespan of the transformer is estimated to range between 25–35 years due to non-thermal factors such as moisture, oil oxidation, and load fluctuations. These results indicate that the thermal condition of the transformer remains very safe and efficient for long-term operation.

Downloads

Download data is not yet available.

References

Anshar, CN (2022). Analysis Study of Estimated Life of 20 KV Distribution Transformer Due to Loading. MAROSTEK. Journal of Engineering, Computers, Agrotechnology and Science, 1(2), 247–253.https://marostek.marospub.com/index.php/journal/article/view/26

Arismunandar, A. (2014). Electrical Power Engineering: Transformers and Distribution Systems. Erlangga, Jakarta.

Darmawan, R. (2020). Analysis of Energy Losses and Efficiency of Distribution Transformers in 20 kV Medium Voltage Systems. Journal of Energy and Electric Power.

Gede, WA (2023). Analysis of Distribution Transformer Life Estimation Against Loading at Mattirotasi Power Plant Using the Montsinger Method. Proceedings of the National Seminar on Electrical Engineering and Informatics (SNTEI).https://jurnal.poliupg.ac.id/index.php/sntei/article/view/4405/3773

Gunawan, H., Rahmaniar, & Sam, JF (2024). Analysis and Simulation of Load Unbalance of Distribution Transformer Feeder LK.10 in ULP Medan City. Journal of Holistic Science, 5(2).https://jurnal.larisma.or.id/index.php/HS/article/view/1239.

IEEE Standard C57.91-2011. (2011). IEEE Guide for Loading Mineral-Oil Immersed Transformers and Step-Voltage Regulators. IEEE Power and Energy Society.https://ieeexplore.ieee.org/document/6166928.

Vocational High School Specialization Material in Distribution Operations (Book II). (2011). PT. PLN (Persero) CENTER FOR EDUCATION AND TRAINING.

Nasution, RT, Sijabat, S., & Harahap, F. (2021). Analysis of Estimated Lifespan of 150kV Power Transformers at Isimu Substation. Jambura Journal of Electrical and Electronics Engineering, 3(2), 101–108.https://ejurnal.ung.ac.id/index.php/jjeee/article/view/10784

Pranata, D. (2023). Transformer Life Prediction Using Actual Field Loading Data Approach. UNPAB Renewable Energy Journal.

Purnama, S. (2009). Analysis of the Effect of Loading on the Lifespan of Power Transformers. (Unpublished Final Project). Diponegoro University, Semarang.https://eprints.undip.ac.id/25436/1/ML2F306046.pdf.

Putra, IZ, Manurung, Y., & Aryeni, I. (2023). Prediction of Transformer Age Based on Temperature Due to Loading Using Linear Trend Method: Case Study of 60 MVA Transformer. Journal of Applied Electrical Engineering, 7(1), 1–8.https://jurnal.polibatam.ac.id/index.php/JAEE/article/view/6999

Saleh, R. (2024). Analysis of Load Imbalance on Distribution Transformers at PT. PLN (Persero) ULP Sipirok. (Unpublished thesis). UNPAB Repository.https://digilib.pancabudi.ac.id/article/29210/analisis-keimbangan-beban-pada-distribution-transformer-at-pt-pln-persero-ulp-sipirok.

Siahaan, AM (2023). The Effect of Overload on the Decrease in Efficiency and Insulation Life of Distribution Transformers. Jurnal Teknik Energi Nusantara.

Sitanggang, M. (2009). Study of Distribution Transformer Life Estimation Using the Annual Level Method. (Unpublished thesis). University of North Sumatra, Medan.

Susa, D., Lehtonen, M., & Nordman, H. (2005). Dynamic Thermal Modeling of Power Transformers. IEEE Transactions on Power Delivery, 20(1), 197–204.https://ieeexplore.ieee.org/document/1375095/.

Syafriyudin. (2011). Calculation of the Service Life of 20 kV Distribution Network Transformers in APJ Yogyakarta. Technology, 4(1), 88-95.https://ejournal.akprind.ac.id/index.php/jurtek/article/download/874/692/1354.

S. Aryza et al (2024) A ROBUST OPTIMIZATION TO DYNAMIC SUPPLIER DECISIONS AND SUPPLY ALLOCATION PROBLEMS IN THE MULTI-RETAIL INDUSTRY. Eastern-European Journal of Enterprise Technologies, 129(3).

Tharo, Z. (2023). Distribution Transformer Load Demand Forecast Analysis. UNPAB Repository.

Tiwari, S., & Kulkarni, S. V. (2017). Analysis of Transformer Hot-Spot Temperature and Life Expectancy under Cyclic Loading. IEEE Conference Papers.

Wang, Y., et al. (2022). A Deep Learning Approach to the Transformer Life Prediction Considering Diverse Aging Factors. Frontiers in Energy Research.https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.930093/full

Zuhal. (1994). Indonesian Electricity. ITB, Bandung.

Downloads

Published

2026-04-09

How to Cite

Wageman A. Naiborhu, Haris Gunawan, & Zuraidah Tharo. (2026). Transformer Life Prediction Analysis Based on Thermal Aging at PT Ultra Sumatera Dairy Farm. Jurnal Info Sains : Informatika Dan Sains, 16(02), 221–230. Retrieved from https://ejournal.seaninstitute.or.id/index.php/InfoSains/article/view/8408