A method for estimating the remaining life of power transformers considering loading, hotspot temperature, and oil assessment
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Abstract
Power transformers face significant aging issues, which threatens their reliability and service life. This research aims to develop an accurate method for predicting the remaining lifespan of transformers. Current studies highlight the inadequacy of existing approaches in determining transformer lifespan, which is affecred by the degradation of paper insulation through furan compounds and hotspot temperatures. This method adheres to the CIGRE D1 738 (2018) standard, which converts furan concentration into Degree of Polymerization (DPest) as an indicator of paper insulation condition. The methodology involves analyzing oil test data and operational temperature to estimate the remaining life of the transformer. This research not only aims to improve the accuracy of paper insulation assessments but also integrates sustainability principles. The goal is to optimize the use of existing transformers, reduce premature replacements, and conserve material and energy resources. By minimizing unexpected failures, this research contributes to reducing industrial waste and environmental impact. Furthermore, this approach aligns with practices that support economic and social sustainability. Extending the lifespan of critical devices can lower maintenance costs while ensuring a reliable and sustainable energy supply. The proposed method provides a comprehensive framework for predicting transformers longevity.
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Aciu, A. M., Nitu, M. C., Nicola, M., Nicola, C. I., & Lazarescu, F. (2020). Complementary analysis of the degree of polymerization based on chemical markers 2-furaldehyde and methanol using the fuzzy logic. 2020 21st International Symposium on Electrical Apparatus & Technologies (SIELA), Bourgas, Bulgaria. 1-6. https://doi.org/10.1109/SIELA49118.2020.9167088
Adekunle, A. A., Oparanti, S. O., & Fofana, I. (2023). Performance Assessment of Cellulose Paper Impregnated in Nanofluid for Power Transformer Insulation Application: A Review. Energies. 16(4). 2002. https://doi.org/10.3390/en16042002
Ariannik, M., Razi-Kazemi, A. A., & Lehtonen, M. (2020). An approach on lifetime estimation of distribution transformers based on degree of polymerization. Reliability Engineering and System Safety, 198. 106881. https://doi.org/10.1016/j.ress.2020.106881
Cheim, L., Platts, D., Prevost, T., & Xu, S. (2012). Furan analysis for liquid power transformers. IEEE Electrical Insulation Magazine, 28(2), 8–21. https://doi.org/10.1109/MEI.2012.6159177
CIGRE 494. (2012). Furanic compounds for diagnosis. CIGRÉ. https://www.e-cigre.org/publications/detail/494-furanic-compounds-for-diagnosis.html
CIGRE A2 - 761. (2019). Condition Assessment of Power Transformers. https://www.e-cigre.org/publications/detail/761-condition-assessment-of-power-transformers.html
CIGRE Brochure 323. (2007). Ageing of Cellulose in Mineral-Oil Insulated Transformers. CIGRÉ. https://www.e-cigre.org/publications/detail/323-ageing-of-cellulose-in-mineral-oil-insulated-transformers.html
CIGRE D1 - 738. (2018). Ageing of Liquid Impregnated Cellulose for Power Transformers. CIGRÉ. https://www.e-cigre.org/publications/detail/738-ageing-of-liquid-impregnated-cellulose-for-power-transformers.html
Diwyacitta, K., Prasojo, R. A., Suwarno, & Gumilang, H. (2017). Effects of loading factor in operating time on dielectric characteristics of transformer oil. 2017 International Conference on High Voltage Engineering and Power Systems (ICHVEPS), Denpasar, Indonesia. 335-339. https://doi.org/10.1109/ICHVEPS.2017.8225968
Duanaputri, R., Prasojo, R. A., & Safarina, L. (2023). The Influence of Load on the Oil Index for Treatment Recommendations. Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE). 102-108. https://doi.org/10.1109/ICVEE59738.2023.10348208
Hydroelectric Research and Technical Services Group. (2005). Transformers: Basics, Maintenance, and Diagnostics.
IEC 60076-7. (2005). Loading guide for oil-immersed power transformers. In International Electrotechnical Commission (Vol. 12). www.iec.ch/online_news/justpub
IEC 60354. (1991). Loading guide for oil-immersed power transformers. www.iec.ch/searchpub
Islam, N., Khan, R., Das, K. S., Sarker, K. S., Islam, M. Md., Akter, M., & Muyeen, S. M. (2023). Power transformer health condition evaluation: A deep generative model aided intelligent framework. Electrical Power Systems Research, 218. 109201. https://doi.org/https://doi.org/10.1016/j.epsr.2023.109201
Kaliappan, G., & Rengaraj, M. (2021). Aging assessment of transformer solid insulation: A review. Materials Today: Proceedings, 47, 272–277. https://doi.org/10.1016/j.matpr.2021.04.301
Kanumuri, D., Sharma, V., & Rahi, O. P. (2020). Remaining Life Assessment of Solid Insulation in Power Transformer Using Fuzzy Inference System (FIS). 37–45. https://doi.org/10.1007/978-981-15-0633-8_5
Liang, Z., Fang, Y., Cheng, H., Sun, Y., Li, B., Li, K., Zhao, W., Sun, Z., & Zhang, Y. (2024). Innovative Transformer Life Assessment Considering Moisture and Oil Circulation. Energies, 17(2). 429. https://doi.org/10.3390/en17020429
Mtetwa, N. Sidwell (2009). Accuracy of Furan Analysis in Estimating the Degree of Polymerization in Power Transformers. Master Thesis. Faculty of Engineering and the Built Environment, University of the Witwatersrand.
Prasojo, R. A., Diwyacitta, K., Suwarno, & Gumilang, H. (2017). Transformer paper expected life estimation using ANFIS based on oil characteristics and dissolved gases (Case study: Indonesian transformers). Energies, 10(8). 1135. https://doi.org/10.3390/en10081135
Prasojo, R. A., Kurniawan, I., Dakhlan, D. F., Sudarmaja, I., Praditama, W. F., & Safarina, L. (2023). Assessment of Power Transformer Solid Insulation Condition Using a Composite Index: A Case Study of UIT-JBM Population. 2023 4th International Conference on High Voltage Engineering and Power Systems (ICHVEPS). https://doi.org/10.1109/ICHVEPS58902.2023.10257430
Prasojo, R. A., Safarina, L., Duanaputri, R., Hakim, M. F., Ridzki, I., & Kurniawan, I. (2023). An Evaluation and Correlation Study of Oil and Solid Insulation in Power Transformers using Composite Index Considering Operating Age. International Journal on Electrical Engineering and Informatics, 15(4), 549–562. https://doi.org/10.15676/ijeei.2023.15.4.4
Prasojo, R. A., Safarina, L., Duanaputri, R., Kurniawan, I., Yulianto, E., & Suwarno. (2023). Assessing Transformer Insulation Aging through Oil Treatment Index: A Comparative and Correlation Study of 150 kV Power Transformers. International Conference on High Voltage Engineering and Power Systems (ICHVEPS). 40-45. https://doi.org/10.1109/ICHVEPS58902.2023.10257397
Prasojo, R.A., Safarina, L., Fiqh, A., Islam, P., Duanaputri, R., Mieftah, M., & Yulianto, E. (2023). Implementasi Metode Scoring Matrix dalam Menentukan Indeks Kondisi Minyak Isolasi pada Transformator Daya 150 kV. ELPOSYS: Jurnal Sistem Kelistrikan, 10(1).
Prasojo, R. A., Setiawan, A., Suwarno, Maulidevi, N. U., & Soedjarno, B. A. (2021). Development of Power Transformer Remaining Life Model Using Multi-Parameters. 2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM), Johor Bahru, Malaysia. 99-102. https://doi.org/10.1109/ICPADM49635.2021.9493928
PLN (2014). Transformator Tenaga.
Rashed, A. K., Mansour, D. E. A., Rezk, A., & Ghali, M. (2022). Effect of Oxidation of Aged Power Transformer Insulating Oil on UV-Vis Spectra. 2022 IEEE 21st International Conference on Dielectric Liquids (ICDL), Sevilla, Spain. 1-4. https://doi.org/10.1109/ICDL49583.2022.9830922
Prihantiny, R.S., Wahjudi, D., & Yulianto, P. (2021). Pengaruh Kondisi Isolasi Dielektrik Terhadap Kehandalan Transformator Tenaga. 22(2), 81–94. https://doi.org/10.53810/jt.v22i2.426
Syadad, R. (2019). Perkiraan Umur Transformator Tenaga di Gardu Induk Banyudono Berdasar Variasi Pembebanan. Undergraduate dissertation. Teknik Elektro. Universitas Muhammadiyah Surakarta.
Thiviyanathan, V. A., Ker, P. J., Leong, Y. S., Jamaluddin, M. Z. Bin, & Mun, L. H. (2020). Detection of 2FAL Furanic Compound in Transformer Oil Using Optical Spectroscopy Method and Verification Using Morse Oscillation Theory. IEEE Access, 8, 76773–76779. https://doi.org/10.1109/ACCESS.2020.2989432