Rainfall Risk Analysis of Lightning Strikes on High-Voltage Overhead Line 150kV Towers (Case Study: Barito System, Kalimantan)

Authors

  • Izef Aulia Kurniawan PLN (Persero) Kantor Pusat Jakarta, Indonesia
  • Indah Rachmatiah Siti Salami Environmental Management Technology Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung

Keywords:

climate, risk matrix, rainfall, lightning strikes, 150kV towers, Barito System

Abstract

PLN is a company responsible for maintaining and operating 150 kV transmission assets. To maintain the 150 kV network electricity assets, PLN must ensure that the transmission is reliable from disturbances. Lightning disturbances are the highest disturbances that occur on 150 kV towers during the 2021-2023 period. The company's risk profile shows that Kalimantan is in the extreme category in terms of lightning disturbance risk. This study aims to examine the risk of changes in rainfall patterns on lightning strikes on 150 kV towers in the Barito System using a linear regression approach and a 5x5 risk matrix assessment. The analysis focuses on the risk map over a three-year period in the Barito System 150 kV transmission asset management unit, which is the largest electricity system in terms of area and asset coverage in Kalimantan. Risk calculations are carried out by determining the probability and impact values ​​for each unit using available data. Rainfall is the probability, and lightning strikes are the impact. The results of the study showed that 9 of the 15 lightning maintenance budget priorities were not in line with risk priorities. Meanwhile, a correlation was found between rainfall patterns and disturbances on 150 kV towers due to lightning. These findings provide valuable input for climate risk-based maintenance strategy and evaluation at PLN.

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References

BMKG. (2024). Climate Data of South Kalimantan and Central Kalimantan. https://dataonline.bmkg.go.id/dataonline-home

BNPB (2021). National Disaster Risk Assessment of Banten Province 2022 -2026. Deputy for System and Strategy Bid, Directorate of Disaster Risk Mapping and Evaluation. https://bpbd.sulselprov.go.id/wp-content/uploads/2022/10/DOKUMEN-KRB-NASIONAL-SULAWESI-SELATAN-2022-2026.pdf

Ginting, T., Janter, N., Andrew, G. P., & Pane, A. (2020). Simulation of Induced Voltage on Cables Due to Lightning Current on Lightning Rod Wires. Uda Energy Technology Journal, 9(2), 115–122

Husni, M. (2008). Training Materials for Geophysical Technical Training: Lightning Observation. BMKG Training Center. Jakarta

Hodson, T. O. (2022). Root-mean-square error (RMSE) or mean absolute error (MAE) : when to use them or not. https://doi.org/10.5194/gmd-15-5481-2022.

Karnas, G. Dralus, G. Maslowski (2024). Identification of cloud-to-ground lightning and intra-cloud lightning based on their radiated electric field signatures using different types of neural networks and machine learning classifiers.

Kaya, G. (2018). GOOD RISK ASSESSMENT PRACTICE IN HOSPITALS. University of Cambridge. doi : https://doi.org/10.17863/CAM.20813

Kusumawardhani, I. D., & Gernowo, R. (2015). CLIMATE CHANGE ANALYSIS OF VARIOUS RAINFALL VARIABILITY AND METHANE GAS (CH4) EMISSIONS USING GRID ANALYSIS AND DISPLAY SYSTEM (GrADS) METHOD IN SEMARANG REGENCY. Youngster Physics Journal, 4(1), 49–54.

Lal, D. M. (2009). Relationship between rainfall and lightning over central Indian region in monsoon and premonsoon seasons. https://doi.org/10.1016/j.atmosres.2008.12.009.

LAPAN. (2023). Get to know 4 types of lightning phenomena.

Ministry of Manpower of the Republic of Indonesia. (2017): Directorate of Safety and Health Norms Supervision, Directorate General of Labor Supervision, and Occupational Safety and Health of the Ministry. (K3 Principles Module).

PLN. (2023). Climate Related-Disclosure 2023.

Pratikno. (2020). IMPLEMENTATION OF CULTURAL RESOURCE MANAGEMENT IN DISASTER MITIGATION IN CULTURAL HERITAGE IN INDONESIA. Nusantara : Journal of Social Sciences.

Septiadi, D., Sulistya W., Adi, S. P., Nugroho, H. (2016). The Use of Lightning Data for Convective Rainfall Estimation. Scientific Journal of PPI-UKM. Vol. 3 (2016) No. 4.

Published

2025-10-29

How to Cite

Izef Aulia Kurniawan, & Siti Salami, I. R. (2025). Rainfall Risk Analysis of Lightning Strikes on High-Voltage Overhead Line 150kV Towers (Case Study: Barito System, Kalimantan). ITB Graduate School Conference, 5(1). Retrieved from https://gcs.itb.ac.id/proceeding-igsc/index.php/igsc/article/view/607