Analisa Keandalan Pembangkit Listrik di Pulau Sumbawa Berdasar Perhitungan Loss of Load Probability dan Expected Energy Not Served
DOI:
https://doi.org/10.59841/saber.v3i3.2788Keywords:
Reliability of power system, Loss Of Load Probability, Expected Energy Not ServedAbstract
A power generation system must be able to meet consumer needs and be reliable in its distribution, for that the distribution of electrical power must be good in terms of quality and continuity. In order to determine the level of reliability of a power generation system, it is necessary to evaluate the level of reliability of the power generation system. In this study, an evaluation of the level of reliability of power plants on Sumbawa Island for the period of 2025 was carried out. The research was conducted using the method of analyzing the calculation of LOLP (Loss of Load Probability) and EENS (Expected Energy Not Served). The data required in the study are the total number of generating units and the FOR (Forced Outage Rate) value as well as daily load data and peak load of the Sumbawa Island electricity system. This study aims to obtain the reliability value of the generating system on Sumbawa Island. The results of this research analysis resulted in an output LOLP value of 5.6 days / year and EENS of 46801310.7 kWh / year or 0.188% / year. From the LOLP standard of 1 day / year and EENS of 0.002% / year, the LOLP and EENS values of the Sumbawa Island generation system show that the system condition is in the unreliable category.
References
Adiwibowo, S., & Prasetyo, E. (2022). Penentuan kapasitas optimal pembangkit listrik berbasis beban harian. Jurnal Energi dan Sistem Daya, 6(1), 55–62.
Australian Government. (2021). National Electricity Market (NEM).
Fitriansyah, R. (2021). Pengaruh kapasitas pembangkit terhadap nilai LOLP dan EENS sistem kelistrikan di wilayah perdesaan. Jurnal Teknologi dan Energi, 7(2), 89–97.
Gumilang, A. P. (2018). Penilaian keandalan sistem tenaga listrik Jawa Bagian Timur dan Bali menggunakan formula analitis deduksi dan sensitivitas analitis dari Expected Orang Not Served. Jurnal Teknik ITS, 7(1). https://doi.org/10.12962/j23373539.v7i1.29094
Handoko, Y., & Prasetyo, E. (2022). Penentuan kapasitas optimal pembangkit listrik berbasis beban harian. Jurnal Energi dan Sistem Daya, 6(1), 55–62.
Kurniawan, I. R., & Nugroho, A. A. (2024). Analisa keandalan pembangkit listrik di Pulau Sumbawa berdasar perhitungan Loss of Load Probability dan Expected Energy Not Served. SABER: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi, 10(X), 00–00.
Marsudi, D. (2006). Operasi sistem tenaga listrik. Graha Ilmu.
Noor, F. (2018). Studi analisa indeks keandalan pada pembangkit listrik tenaga hibrid (PLTH) Pantai Baru Pandansimo menggunakan perhitungan EENS (Expected Energy Not Supplied). http://repository.umy.ac.id/handle/123456789/20280
PLN. (2021). Rencana Usaha Penyediaan Tenaga Listrik (RUPTL) PT PLN (Persero) 2021–2030.
Pranata, P. K., Three, K. U., Widi, A., & Mahendra, W. (2021). Perhitungan nilai Loss of Load Probability (LOLP) pada PLTG PT PERTAMINA EP Asset IV Field Sukowati menggunakan perhitungan Discrete Distribution dan Cholesky Decomposition. Jurnal Teknik Elektro, 10(3), 639–648.
Rachmat, H., & Fauzi, R. (2021). Analisis beban puncak sistem kelistrikan untuk optimasi operasi pembangkit. Jurnal Rekayasa Energi, 9(3), 205–212.
Saiful, R., Syarifuddin, S., & Riyadi, K. (2022). Penilaian keandalan sistem tenaga listrik dengan menggunakan formula analitis deduksi. Seminar Nasional Teknik Elektro dan Informatika (SNTEI), 8(1), 398–403.
Santoso, A., & Hidayat, R. (2019). Keandalan sistem distribusi tenaga listrik dengan pendekatan probabilistik. Jurnal Sistem Energi Listrik, 3(2), 77–84.
Siregar, R. H. (2020). Evaluasi keandalan sistem distribusi tenaga listrik menggunakan metode analytical dan Monte Carlo. Jurnal Energi dan Kelistrikan, 4(2), 123–130.
Sugiyarto. (2021). Pengantar matematika statistik 1. Magnum Pustaka Utama. https://doi.org/10.7560/724709-004
Suryadi, D., & Wibowo, T. (2020). Studi teknis sistem kelistrikan wilayah timur Indonesia. Jurnal Teknik Elektro dan Energi, 5(1), 33–40.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.