Studi Susut Teknis Jaringan Distribusi Menggunakan Metode Pendekatan Monte Carlo (Studi Kasus PT PLN (Persero) Unit Layanan Pelanggan Sape)
DOI:
https://doi.org/10.58344/jii.v5i8.8037Keywords:
susut teknis, Formula Jogja, simulasi Monte Carlo, analisis probabilistic, jaringan distribusiAbstract
Pengelolaan susut teknis pada jaringan distribusi merupakan salah satu aspek penting dalam meningkatkan efisiensi penyaluran energi listrik. Kondisi jaringan distribusi dengan penyulang yang panjang, pembebanan transformator yang bervariasi, serta perubahan profil tegangan menyebabkan besarnya susut teknis sulit diperkirakan hanya menggunakan pendekatan deterministik. Penelitian ini bertujuan menganalisis susut teknis pada jaringan distribusi PT PLN (Persero) Unit Layanan Pelanggan (ULP) Sape melalui integrasi Formula Jogja sebagai metode deterministik dan simulasi Monte Carlo sebagai pendekatan probabilistik untuk mengevaluasi pengaruh variasi kondisi operasi terhadap perubahan susut teknis. Penelitian menggunakan data teknis sistem distribusi periode Januari–April 2026 yang meliputi jaringan tegangan menengah, transformator distribusi, jaringan tegangan rendah, energi tersalur, komposisi pembebanan pelanggan, dan kondisi tegangan. Perhitungan susut teknis dilakukan menggunakan Formula Jogja, sedangkan simulasi Monte Carlo sebanyak 10.000 iterasi digunakan untuk merepresentasikan variasi kondisi operasi sistem distribusi, dilanjutkan dengan analisis sensitivitas menggunakan Standardized Regression Coefficient (SRC). Hasil penelitian menunjukkan rata-rata total susut teknis hasil simulasi sebesar 5,53%, dengan rentang 5,20%–6,01% (P5–P95: 5,39%–5,68%), serta energi tersalur, tegangan tegangan menengah, dan tegangan tegangan rendah sebagai variabel paling dominan (R² = 0,8409), sedangkan pembebanan transformator dan komposisi pelanggan tegangan menengah memberikan pengaruh yang relatif lebih kecil. Integrasi Formula Jogja dan simulasi Monte Carlo memberikan pendekatan analisis yang lebih komprehensif dibandingkan metode deterministik saja, sehingga dapat digunakan sebagai dasar dalam penyusunan strategi pengelolaan susut teknis pada sistem distribusi.
References
Agung, M., Mulia, S., Sunanda, W., & Arkan, F. (n.d.). Studi komparasi efisiensi trafo distribusi pada PLN unit layanan pelanggan Pangkalpinang (pp. 1–4). Jurusan Teknik Elektro, Universitas Bangka Belitung.
Alqahtani, M., Marimuthu, P., Moorthy, V., Pangedaiah, B., Rami Reddy, C., Kiran Kumar, M., & Khalid, M. (2023). Investigation and minimization of power loss in radial distribution network using gray wolf optimization. Energies, 16(12), 4571. https://doi.org/10.3390/en16124571
Imran, R. M., Saeed, M. R., Mohammed, M. A., Suhry, O. A., Abdulqadder, I. H., Salih, H. W., & Almallah, M. R. (2022). Voltage profile enhancement and power loss reduction with economic feasibility using small capacity distribution transformers. Energy Engineering, 119(6), 2447–2467. https://doi.org/10.32604/ee.2022.021871
Khalid, S., Raza, A., Yousaf, M. Z., Mirsaeidi, S., & Zhichu, C. (2023). Recent advances and future perspectives of HVDC development in Pakistan: A scientometric analysis based comprehensive review. IEEE Access, 11, 56408–56427. https://doi.org/10.1109/ACCESS.2023.3283431
Kim, S., & Hur, J. (2020). A probabilistic modeling based on Monte Carlo simulation of wind powered EV charging stations for steady-states security analysis.
Li, Z., Li, C., Zhang, B., Duan, Q., Liu, L., Zu, G., & Li, Q. (2023). Research on new energy vehicle charging prediction based on Monte Carlo algorithm and its impact on distribution network. Frontiers in Energy Research, 11, 1269041. https://doi.org/10.3389/fenrg.2023.1269041
Menggunakan, T., & Monte, S. (2025). Analisis risiko tekno-ekonomi untuk Jakarta 2025.
Otuo-Acheampong, D., & Hussain, S. (2023). Application of optimal network reconfiguration for loss minimization and voltage profile enhancement of distribution system using heap-based optimizer. International Transactions on Electrical Energy Systems, 2023, 9930954. https://doi.org/10.1155/2023/9930954
Penerapan, A., & Monte, M. (2025). Dalam kajian finansial proyek infrastruktur ketenagalistrikan HVDC 500kV interkoneksi.
PLN. (n.d.). Buku 1 Kriteria Disain Enjinering (PLN (Ed.); 1st ed.). PLN.
PLN. (1991). Perusahaan Umum Listrik Negara. In SPLN 87. PLN.
PLN. (2017). Peraturan Direksi PT PLN (Persero) Nomor 0021.P/DIR/2018. PT PLN (Persero).
Rahmani, I. N. (2024). Pada jaringan tegangan menengah PT PLN (Persero) UP3 Semarang. Program Studi Magister Teknik, Sekolah Pascasarjana.
Salkuti, S. R., & Battu, N. R. (2021). An effective network reconfiguration approach of radial distribution system for loss minimization and voltage profile improvement. Bulletin of Electrical Engineering and Informatics, 10(4). https://doi.org/10.11591/eei.v10i4.2867
Syukri, S., Asyadi, T. M., Muliadi, M., & Moesnadi, F. (2022). Analisa pembebanan transformator distribusi 20 kV pada penyulang LS5 Gardu LSA 249. Jambura Journal of Electrical and Electronics Engineering, 4(2), 202–206. https://doi.org/10.37905/jjeee.v4i2.14500
Tobing, M. P. L. (2022). Pengelolaan pelanggan dan pemetaan susut teknis jaringan tegangan rendah di PLN UP3 Belitung. Fakultas Ketenagalistrikan, Institut Teknologi PLN Jakarta.
Wei, N., Zhang, L., Liu, S., & Ye, H. (2023). Unlocking inter-regional flexibility for the HVDC-connected two-area system with a multistage model. Frontiers in Energy Research, 11, 1323919. https://doi.org/10.3389/fenrg.2023.1323919
Wiranto, M. I., Patras, L. S., & Silimang, S. (n.d.). Analisa kinerja transformator distribusi Kawanua Emerald City - Amethyst. Jurusan Teknik Elektro, Universitas Sam Ratulangi Manado.
Yasa, I. W. S., Wirajaya, A., & Adrama, I. N. (2024). Analisis ketidakseimbangan beban pada transformator distribusi di PT. PLN (Persero) ULP Bangli. Journal of Electrical and System Control Engineering, 8(1), 141–154. https://doi.org/10.31289/jesce.v8i1.11992
Yuvaraj, T., Meyyappan, S. T. D. U., Aljafari, B., & Thanikanti, S. B. (2023). Optimizing the allocation of renewable DGs, DSTATCOM, and BESS to mitigate the impact of electric vehicle charging stations on radial distribution systems. Heliyon, 9(11), e23017. https://doi.org/10.1016/j.heliyon.2023.e23017
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