Analysis of Estimated Generator Lifespan at Siman Hydroelectric Power Plant Based on Insulation Resistance Testing
DOI:
https://doi.org/10.30595/jrre.v8i1.26974Keywords:
Hydroelectric Power Plant, Insulation Degradation, Remaining Useful Life, Insulation Resistance, GeneratorAbstract
Insulation Resistance (IR) merupakan parameter penting yang digunakan untuk mengukur kemampuan bahan isolasi dalam menahan aliran arus listrik dengan memberikan hambatan tinggi terhadap aliran tersebut. Nilai IR yang rendah menunjukkan penurunan kualitas isolasi, yang dapat menyebabkan kebocoran arus dan berpotensi menimbulkan gangguan pada sistem kelistrikan. Faktor-faktor yang memengaruhi penurunan IR antara lain suhu lingkungan, kelembapan udara, kondisi ruangan yang tidak memadai, serta akumulasi debu dan kotoran. Penelitian ini bertujuan untuk menganalisis data tahanan isolasi yang diukur antara rotor–body dan stator–body pada generator AC berkapasitas 3,6 MW di PLTA Siman, yang dikelola oleh PT PLN Nusantara Power UP Brantas Siman. Fokus utama penelitian adalah memprediksi sisa umur operasional generator unit 1 dan 3 berdasarkan data pengukuran IR dari tahun 2018 hingga 2024. Metode yang digunakan melibatkan pendekatan matematis untuk memodelkan tren penurunan nilai IR seiring waktu. Berdasarkan referensi bahwa umur desain generator umumnya mencapai 30 tahun, hasil analisis menunjukkan bahwa rotor dan stator pada generator 1 memiliki sisa umur sekitar 10 tahun lagi dari tahun 2024. Sementara itu, pada generator 3, rotor diperkirakan masih memiliki umur pakai sekitar 21 tahun, dan stator sekitar 22 tahun. Estimasi ini didasarkan pada asumsi load factor rata-rata sebesar 77%, yang mencerminkan tingkat pemanfaatan generator selama periode pengamatan.
References
[1] Widagdo, R. S., Slamet, P., Hariadi, B., & Anka, A. C. (2025). Design and Calculation of Single Tuned Passive Filter for Harmonic Mitigation in a 1250 kVA Distribution Transformer at PT. INKA (Persero) Madiun. Jurnal Riset Rekayasa Elektro, 7(1), 53-62.
[2] Widagdo, R. S., Slamet, P., Andriawan, A. H., & Santoso, B. B. (2025). Analysis of the Insulation Quality of 1000 kVA Distribution Transformer Oil Due to Aging at PT. Bambang Djaja Surabaya. Wahana: Tridarma Perguruan Tinggi, 77(1), 1-14.
[3] Kumar, S., Raj, K. K., Cirrincione, M., Cirrincione, G., Franzitta, V., & Kumar, R. R. (2024). A Comprehensive Review of Remaining Useful Life Estimation Approaches for Rotating Machinery. Energies, 17(22), 5538.
[4] Zhang, Q., Wu, J., Wang, J., Huang, X., Fang, Y., Niu, F., & Zhang, J. (2024). A Two-phase Lifetime Prediction Model of Generator Stator Main Wall Insulation Driven by Digital Twin. IEEE Transactions on Instrumentation and Measurement.
[5] Widagdo, R. S., Budiono, G., Slamet, P., & Habibullah, M. S. A. (2024). Analysis of The Reliability Index of The Platuk Feeder Distribution System at PT. PLN ULP Kenjeran with Section Technique Method. Jurnal Riset Rekayasa Elektro, 6(2), 121-132.
[6] Neubert, D., Glück, C., Schnitzius, J., Marko, A., Wapler, J., Bongs, C., & Felsmann, C. (2022). Analysis of the operation characteristics of a hybrid heat pump in an existing multifamily house based on field test data and simulation. Energies, 15(15), 5611.
[7] Afifah, S., Nainggolan, J. M., Wibisono, G., & Hudaya, C. (2019, June). Prediction of power transformers lifetime using thermal modeling analysis. In 2019 IEEE International Conference on Innovative Research and Development (ICIRD) (pp. 1-6). IEEE.
[8] Pattanadech, N., Nimsanong, P., & Worthong, T. (2021, October). Application of polarization and depolarization current measurement for rotating machine insulation analysis. In 2021 3rd International Conference on High Voltage Engineering and Power Systems (ICHVEPS) (pp. 034-038). IEEE.
[9] Zhou, X., Giangrande, P., Ji, Y., Zhao, W., Ijaz, S., & Galea, M. (2024). Insulation for Rotating Low-Voltage Electrical Machines: Degradation, Lifetime Modeling, and Accelerated Aging Tests. Energies, 17(9), 1987.
[10] Foros, J., & Istad, M. (2020). Health index, risk and remaining lifetime estimation of power transformers. IEEE Transactions on Power Delivery, 35(6), 2612-2620.
[11] Dmitriev, V., Oliveira, R. M., Zampolo, R. F., Vilhena, P., Brasil, F. S., & Fernandes, M. F. (2023). Partial Discharges in Hydroelectric Generators. Springer International Publishing: Cham, Switzerland.
[12] Schreiter, S., Kinkeldey, T., Lohmeye, H., Werle, P., & Münster, T. (2021, November). Lifetime estimation of operational aged transformers with new fuzzy logic algorithms. In 22nd International Symposium on High Voltage Engineering (ISH 2021) (Vol. 2021, pp. 260-263). IET.
[13] Bechara, H., Ibrahim, R., Zemouri, R., Kedjar, B., Merkhouf, A., Tahan, A., & Al-Haddad, K. (2024). Review of artificial intelligence methods for faults monitoring, diagnosis, and prognosis in hydroelectric synchronous generators. IEEE Access, 12, 173599-173617.
[14] Szamel, L., & Oloo, J. (2024). Monitoring of Stator Winding Insulation Degradation through Estimation of Stator Winding Temperature and Leakage Current. Machines, 12(4), 220.
[15] Kalafatelis, A. S., Nomikos, N., Giannopoulos, A., Alexandridis, G., Karditsa, A., & Trakadas, P. (2025). Towards predictive maintenance in the maritime industry: A component-based overview. Journal of Marine Science and Engineering, 13(3), 425.
[16] Sahu, A. R., Palei, S. K., & Mishra, A. (2024). Data‐driven fault diagnosis approaches for industrial equipment: A review. Expert Systems, 41(2), e13360.
[17] Zhou, X., Ji, Y., Giangrande, P., Zhao, W., Ijaz, S., & Galea, M. (2024). Extra Life Loss of Low Voltage Electrical Machine under Variable Temperature Aging. IEEE Transactions on Transportation Electrification.
[18] Lan, X., Liang, D., Liu, W., Wang, Y., Han, Y., & Yu, Z. (2023, August). Remaining Useful Life Prediction of Wind Turbine Generator Bearings Based on Nonlinear Wiener Process. In 2023 3rd Power System and Green Energy Conference (PSGEC) (pp. 1124-1129). IEEE.
[19] Shbool, M. A., & Alanazi, B. (2023). Application of condition-based maintenance for electrical generators based on statistical control charts. MethodsX, 11, 102355.
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