Studi Analisis Tahanan Isolasi dan Estimasi Umur Transformator Menggunakan Metode Health Index di PT PLN (Persero) UPT Cawang

Authors

  • Juanto Sirait Departemen Teknik Elektro, Fakultas Teknik Industri, Universitas Pertamina
  • Teguh A Nugroho Departemen Teknik Elektro, Fakultas Teknik Industri, Universitas Pertamina
  • Soni Prayogi Universitas Pertamina

DOI:

https://doi.org/10.62411/tc.v23i3.10896

Keywords:

Estimasi Umur, Health Index, Pemeliharaan Preventif, Tahanan Isolasi, Transformator

Abstract

Keandalan operasi transformator sangat tergantung pada kondisi isolasi yang baik. Penelitian ini bertujuan untuk menganalisis tahanan isolasi dan mengestimasi umur transformator dengan menggunakan metode Health Index di PT PLN (Persero) UPT Cawang. Metode Health Index ini mengintegrasikan berbagai parameter kondisi transformator, termasuk hasil pengukuran tahanan isolasi, pengujian minyak isolasi, dan parameter operasional lainnya, untuk memberikan gambaran komprehensif tentang kondisi kesehatan transformator. Data diperoleh dari pengujian lapangan dan laboratorium yang dilakukan secara periodik. Hasil analisis menunjukkan bahwa beberapa transformator memiliki nilai tahanan isolasi yang mendekati batas minimal yang direkomendasikan, mengindikasikan adanya penurunan kualitas isolasi. Estimasi umur transformator dilakukan berdasarkan nilai Health Index yang dihitung, dengan mempertimbangkan degradasi material isolasi dan kondisi operasional transformator. Transformator dengan nilai Health Index yang rendah diidentifikasi memiliki risiko tinggi terhadap kegagalan operasional dan memerlukan tindakan pemeliharaan atau penggantian segera. Studi ini memberikan wawasan penting bagi manajemen pemeliharaan di PT PLN (Persero) UPT Cawang untuk meningkatkan keandalan dan efisiensi operasi transformator. Implementasi metode Health Index terbukti efektif dalam memprediksi umur sisa transformator dan merencanakan strategi pemeliharaan preventif. Dengan demikian, dapat diharapkan peningkatan kontinuitas layanan penyaluran energi listrik dan pengurangan risiko gangguan operasional.   Kata kunci: Estimasi Umur, Health Index, Pemeliharaan Preventif, Tahanan Isolasi, Transformator.

References

R. D. Medina, D. A. Zaldivar, A. A. Romero, J. Zuñiga, and E. E. Mombello, “A fuzzy inference-based approach for estimating power transformers risk index,” Electric Power Systems Research, vol. 209, p. 108004, Aug. 2022, doi: 10.1016/j.epsr.2022.108004.

L. R. Chandran, G. S. Ajith Babu, M. G. Nair, and K. Ilango, “A review on status monitoring techniques of transformer and a case study on loss of life calculation of distribution transformers,” Materials Today: Proceedings, vol. 46, pp. 4659–4666, Jan. 2021, doi: 10.1016/j.matpr.2020.10.290.

G. S. Elbasuony, S. H. E. Abdel Aleem, A. M. Ibrahim, and A. M. Sharaf, “A unified index for power quality evaluation in distributed generation systems,” Energy, vol. 149, pp. 607–622, Apr. 2018, doi: 10.1016/j.energy.2018.02.088.

S. Ghufron and S. Prayogi, “Cooling System in Machine Operation at Gas Engine Power Plant at PT Multidaya Prima Elektrindo,” Journal of Artificial Intelligence and Digital Business (RIGGS), vol. 1, no. 2, Art. no. 2, 2023, doi: 10.31004/riggs.v1i2.21.

F. Silviana and S. Prayogi, “Pemanfaatan Bahan Bekas sebagai Alat Peraga IPA Ramah Lingkungan,” Berdikari: Jurnal Inovasi dan Penerapan Ipteks, vol. 11, no. 2, Art. no. 2, Dec. 2023, doi: 10.18196/berdikari.v11i2.17845.

P. Bohatyrewicz and S. Banaszak, “Assessment Criteria of Changes in Health Index Values over Time—A Transformer Population Study,” Energies, vol. 15, no. 16, Art. no. 16, Jan. 2022, doi: 10.3390/en15166078.

W. Zuo, H. Yuan, Y. Shang, Y. Liu, and T. Chen, “Calculation of a Health Index of Oil-Paper Transformers Insulation with Binary Logistic Regression,” Mathematical Problems in Engineering, vol. 2016, pp. 1–9, 2016, doi: 10.1155/2016/6069784.

J. Wang, K. Wu, W. Zhu, and C. Gu, “Condition Assessment for Power Transformer Using Health Index,” IOP Conf. Ser.: Mater. Sci. Eng., vol. 199, p. 012046, May 2017, doi: 10.1088/1757-899X/199/1/012046.

R. M. Arias Velásquez, J. V. Mejía Lara, and A. Melgar, “Converting data into knowledge for preventing failures in power transformers,” Engineering Failure Analysis, vol. 101, pp. 215–229, Jul. 2019, doi: 10.1016/j.engfailanal.2019.03.027.

E. Hwang et al., “Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm,” Artificial Intelligence in Medicine, vol. 143, p. 102569, Sep. 2023, doi: 10.1016/j.artmed.2023.102569.

R. Soni and B. Mehta, “Diagnosis and prognosis of incipient faults and insulation status for asset management of power transformer using fuzzy logic controller & fuzzy clustering means,” Electric Power Systems Research, vol. 220, p. 109256, Jul. 2023, doi: 10.1016/j.epsr.2023.109256.

D. G. T. Da Silva, H. J. Braga Da Silva, F. P. Marafão, H. K. M. Paredes, and F. A. S. Gonçalves, “Enhanced health index for power transformers diagnosis,” Engineering Failure Analysis, vol. 126, p. 105427, Aug. 2021, doi: 10.1016/j.engfailanal.2021.105427.

H. Zeinoddini-Meymand and B. Vahidi, “Health index calculation for power transformers using technical and economical parameters,” IET Science, Measurement & Technology, vol. 10, no. 7, pp. 823–830, 2016, doi: 10.1049/iet-smt.2016.0184.

H. Guo and L. Guo, “Health index for power transformer condition assessment based on operation history and test data,” Energy Reports, vol. 8, pp. 9038–9045, Nov. 2022, doi: 10.1016/j.egyr.2022.07.041.

S. Prayogi, F. Silviana, and Z. Zainuddin, “Scientific Explanation of the Photoelectric Effect Using Common Objects,” Jurnal Pendidikan Fisika Indonesia, vol. 19, no. 2, Art. no. 2, Dec. 2023, doi: 10.15294/jpfi.v19i2.40332.

W. R. Tamma, R. A. Prasojo, and Suwarno, “High voltage power transformer condition assessment considering the health index value and its decreasing rate,” High Voltage, vol. 6, no. 2, pp. 314–327, 2021, doi: 10.1049/hve2.12074.

J. Y. Ten and M. H. Hassim, “Improving the sensitivity of safety and health index assessment in optimal molecular design framework,” Computers & Chemical Engineering, vol. 124, pp. 238–252, May 2019, doi: 10.1016/j.compchemeng.2018.12.012.

F. Silviana and S. Prayogi, “Utilization of Smartphones in Experiments of Measurement of Electron-Mass Charge Ratio,” International Journal of Engineering and Science Applications, vol. 10, no. 1, Art. no. 1, May 2023.

S. Milosavljevic and A. Janjic, “Integrated Transformer Health Estimation Methodology Based on Markov Chains and Evidential Reasoning,” Mathematical Problems in Engineering, vol. 2020, p. e7291749, May 2020, doi: 10.1155/2020/7291749.

S. Prayogi and F. Silviana, “LED lights of various colors for comprehending the photoelectric effects phenomena,” Majalah Ilmiah Teknologi Elektro, vol. 22, no. 2, Art. no. 2, Jan. 2024, doi: 10.24843/MITE.2023.v22i02.P12.

S. Prayogi, “Enhancement of the Silicon Nanocrystals’ Electronic Structure within a Silicon Carbide Matrix,” Indonesian Journal of Chemistry, vol. 24, no. 1, Art. no. 1, Feb. 2024, doi: 10.22146/ijc.79864.

H. Torkaman and F. Karimi, “Measurement variations of insulation resistance/polarization index during utilizing time in HV electrical machines – A survey,” Measurement, vol. 59, pp. 21–29, Jan. 2015, doi: 10.1016/j.measurement.2014.09.034.

A. Abdullah, R. Ali, S. Yaacob, T. Mansur, and N. Baharudin, “Prediction of Transformer Health Index Using Condition Situation Monitoring (CSM) Diagnostic Techniques,” J. Phys.: Conf. Ser., vol. 1878, no. 1, p. 012007, May 2021, doi: 10.1088/1742-6596/1878/1/012007.

M. Marzuki, S. Prayogi, and M. Abdillah, “Data-Driven Based Model For Predictive Maintenance Applications In Industrial System,” presented at the Proceedings of the International Conference on Sustainable Engineering, Infrastructure and Development, ICO-SEID 2022, 23-24 November 2022, Jakarta, Indonesia, Dec. 2023. Accessed: Jun. 04, 2024. [Online]. Available: https://eudl.eu/doi/10.4108/eai.23-11-2022.2341596

S. Prayogi, “Solar Cells Characterization Polycrystalline with Sun Simulator System Using Light Halogen Bulb,” presented at the Proceedings of the International Conference on Sustainable Engineering, Infrastructure and Development, ICO-SEID 2022, 23-24 November 2022, Jakarta, Indonesia, Dec. 2023. Accessed: Jun. 04, 2024. [Online]. Available: https://eudl.eu/doi/10.4108/eai.23-11-2022.2338872

S. Li, X. Li, Y. Cui, and H. Li, “Review of Transformer Health Index from the Perspective of Survivability and Condition Assessment,” Electronics, vol. 12, no. 11, Art. no. 11, Jan. 2023, doi: 10.3390/electronics12112407.

A. P. M. Erlangga, K. S. K. Dinatha, F. E. Nainggolan, and S. Prayogi, “Prototipe Otomatisasi dan Pemantauan Sistem Hidroponik Berbasis IoT dengan Pemanfaatan Solar Panel Sebagai Sumber Energi,” G-Tech: Jurnal Teknologi Terapan, vol. 7, no. 4, pp. 1367–1377, Oct. 2023, doi: 10.33379/gtech.v7i4.3143.

R. de Carvalho Paes Loureiro, M. Beres, M. Masoumi, and H. Ferreira Gomes de Abreu, “The effect of pearlite morphology and crystallographic texture on environmentally assisted cracking failure,” Engineering Failure Analysis, vol. 126, p. 105450, Aug. 2021, doi: 10.1016/j.engfailanal.2021.105450.

S. Ahmadi, M. Yeganeh, M. B. Motie, and A. Gilandoust, “The role of neighborhood morphology in enhancing thermal comfort and resident’s satisfaction,” Energy Reports, vol. 8, pp. 9046–9056, Nov. 2022, doi: 10.1016/j.egyr.2022.07.042.

P. Wang, W. Qiao, Y. Wang, S. Cao, and Y. Zhang, “Urban drought vulnerability assessment – A framework to integrate socio-economic, physical, and policy index in a vulnerability contribution analysis,” Sustainable Cities and Society, vol. 54, p. 102004, Mar. 2020, doi: 10.1016/j.scs.2019.102004.

E. J. Kadim, N. Azis, J. Jasni, S. A. Ahmad, and M. A. Talib, “Transformers Health Index Assessment Based on Neural-Fuzzy Network,” Energies, vol. 11, no. 4, Art. no. 4, Apr. 2018, doi: 10.3390/en11040710.

Downloads

Published

2024-08-23