Evaluasi Metode Health Index Untuk Menentukan Prioritas Pemeliharaan Gardu Distribusi

Galuh Prawestri Citra Handani; Rahman Azis Prasojo; Muhammad Fahmi Hakim; Muhammad Ridlo Zainal; Imron Ridzki; Bustani Hadi Wijaya

doi:10.33795/elposys.v11i3.6102

Authors

Galuh Prawestri Citra Handani Politeknik Negeri Malang
Rahman Azis Prasojo Politeknik Negeri Malang
Muhammad Fahmi Hakim Politeknik Negeri Malang
Muhammad Ridlo Zainal Politeknik Negeri Malang
Imron Ridzki Politeknik Negeri Malang
Bustani Hadi Wijaya PT PLN (Persero) UP3 Surabaya Utara

DOI:

https://doi.org/10.33795/elposys.v11i3.6102

Keywords:

health index evaluation, scoring matrix, substation maintenance prioritization , distribution substation

Abstract

Electricity is an essential energy source that plays a crucial role in human life. A key component of power distribution systems is the distribution substation. As distribution substations are in operation over time, their components experience aging, which can result in operational failures. This situation emphasizes the necessity for regular evaluations and diagnostics of distribution substations. Such assessments are crucial for identifying when equipment requires repair or replacement, ensuring that the system operates at maximum efficiency. By implementing a proactive maintenance strategy, utilities can mitigate risks, enhance reliability, and extend the lifespan of their infrastructure. The scoring matrix method is a technique for evaluating the condition of distribution substations. It combines results from field and laboratory tests to produce values that accurately reflect the substation's condition. The research focused on four distribution substations managed by PT PLN, classifying them into high, medium, and low categories based on their health index scores. The results show that, among the four distribution substations evaluated, substations A and C received health indices exceeding 80%, classifying them in the high category. It is therefore recommended that these substations continue operating normally while adhering to their scheduled periodic maintenance. In contrast, substation B received a health index between 50% and 80%, placing it in the medium category. While it can remain operational, it requires closer monitoring and maintenance at specific intervals to ensure reliability and prevent potential issues.

References

Masnur, “Aplikasi Sistem Pengendali Energi Listrik Menggunakan Raspberrypi Pada Smart Building,” J. Sintaks Log., vol. 1, no. 2, pp. 103–106, 2021, [Online]. Available: https://jurnal.umpar.ac.id/index.php/sylog▪103

W. P. Perdana, R. N. Hasanah, and H. S. Dachlan, “Evaluasi Keandalan Sistem Tenaga Listrik Pada Jaringan Distribusi Primer Tipe Radial Gardu Induk Blimbing,” vol. III, no. 1, pp. 6–12, 2009.

S. Hidayat, S. Legino, and N. F. Mulyanti, “Penyeimbangan beban pada jaringan tegangan rendah gardu distribusi cd 33 penyulang sawah di Pt Pln ( Persero ) Area Bintaro,” J. Ilm. sutet, vol. 8, no. 1, pp. 21–27, 2018, [Online]. Available: https://stt-pln.e-journal.id/sutet/article/view/712

I. G. N. S. Hernanda, A. C. Mulyana, D. A. Asfani, I. M. Y. Negara, and D. Fahmi, “Application of health index method for transformer condition assessment,” IEEE Reg. 10 Annu. Int. Conf. Proceedings/TENCON, vol. 2015-Janua, no. July 2015, 2015, doi: 10.1109/TENCON.2014.7022433.

R. A. Prasojo, L. Safarina, A. F. P. Islam, R. Duanaputri, M. Mieftah, and E. Yulianto, “Implementasi Metode Scoring Matrix dalam Menentukan Indeks Kondisi Minyak Isolasi pada Transformator Daya 150 kV,” Elposys J. Sist. Kelistrikan, vol. 10, no. 1, pp. 36–41, 2023, doi: 10.33795/elposys.v10i1.717.

T. Setiawan, Syukri, and Muliadi, “Kajian Pemeliharaan Trafo Distribusi Menggunakan Metode Codition Based Maintenance (CBM),” Aceh J. Electr. Eng. Technol., vol. 2, no. 2, pp. 18–23, 2022.

R. A. Prasojo, Suwarno, and A. Abu-Siada, “Dealing with Data Uncertainty for Transformer Insulation System Health Index,” IEEE Access, vol. 9, pp. 74703–74712, 2021, doi: 10.1109/ACCESS.2021.3081699.

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

R. Azis Prasojo, Suwarno, N. Ulfa Maulidevi, and B. Anggoro Soedjarno, “A Multiple Expert Consensus Model for Transformer Assessment Index Weighting Factor Determination,” Proceeding - 8th Int. Conf. Cond. Monit. Diagnosis, C. 2020, no. Cmd, pp. 234–237, 2020, doi: 10.1109/CMD48350.2020.9287198.

R. Sembiring and H. Aryza, Solly, “Analyzing (Condition Based Maintenance) Level 1 On Substation Equipment PT. PLN Persero Berastagi,” J. Infokum, vol. 10, no. 1, pp. 451–460, 2021, [Online]. Available: http://infor.seaninstitute.org/index.php/infokum/index

S. A. Hidayat, N. A. Mardiyah, and N. Setyawan, “Klasterisasi Kualitas Kesehatan Gardu Distribusi Pada PT. PLN Unit Layanan Pelanggan Kota Malang Dengan Kohonen Neural Network (KNN),” PoliGrid, vol. 3, no. 1, p. 33, 2022, doi: 10.46964/poligrid.v3i1.1487.

W. R. Tamma, R. A. Prasojo, and S. Suwarno, “Assessment of High Voltage Power Transformer Aging Condition Based on Health Index Value Considering Its Apparent and Actual Age,” ICITEE 2020 - Proc. 12th Int. Conf. Inf. Technol. Electr. Eng., pp. 292–296, 2020, doi: 10.1109/ICITEE49829.2020.9271778.

S. S. M. Ghoneim and I. B. M. Taha, “Comparative study of full and reduced feature scenarios for health index computation of power transformers,” IEEE Access, vol. 8, pp. 181326–181339, 2020, doi: 10.1109/ACCESS.2020.3028689.

S. Liu, Z. Liu, Y. Zhang, Y. Cao, J. Li, and C. Hou, “Application of AHP and Grey Correlation Analysis in the Study of Electric Life of Vacuum Circuit Breaker,” Proc. - Int. Symp. Discharges Electr. Insul. Vacuum, ISDEIV, vol. 2, pp. 555–558, 2018, doi: 10.1109/DEIV.2018.8536987.

761 CIGRE, Condition assessment of power transformers, no. March. 2019. doi: 10.1201/9781420015393-5.

R. A. Prasojo, A. Setiawan, Suwarno, N. U. Maulidevi, and B. Anggoro Soedjarno, “Development of Analytic Hierarchy Process Technique in Determining Weighting Factor for Power Transformer Health Index,” Proc. 2nd Int. Conf. High Volt. Eng. Power Syst. Towar. Sustain. Reliab. Power Deliv. ICHVEPS 2019, no. October, 2019, doi: 10.1109/ICHVEPS47643.2019.9011040.

K. Witchawut, P. Fuangpian, T. Suwanasri, and C. Suwanasri, “Condition Assessment of a Gas Insulated Substation,” iEECON 2018 - 6th Int. Electr. Eng. Congr., pp. 1–4, 2018, doi: 10.1109/IEECON.2018.8712240.