Risk Assessment of The 20 kV Medium Voltage Cable Network Disruption Using The Bow Tie Method at X Company
DOI:
https://doi.org/10.33379/gtech.v8i3.4420Keywords:
bow tie method, medium voltage cable network, risk assessment, risk control assessment, risk matrixAbstract
As one of the operational units of PT PLN (Persero) operated in the distribution and customer service processes, the reliability of the distribution network is a critical concern for PT X. This study conducts a three-stage assessment of the risks associated with disturbances in the 20 kV medium voltage cable network at PT X. In the first stage, a bow-tie diagram comprising 10 threats, 4 consequences, and 18 risk control activities, is developed. In the second stage, the risk level is determined, beginning with assessing likelihood, impact level, and risk control effectiveness. By mapping these results on the risk matrix, it was concluded that the risk level was in the “High” category. In the final stage, the effectiveness of risk controls is ranked to determine the priority for improving risk control activities. 7 activities are identified as requiring immediate attention due to their current ineffective implementation.
References
Akoglu, Haldun. (2018). User’s guide to correlation coefficients. Turkish Journal of Emergency Medicine, 18, 91-93. https://doi.org/10.1016/j.tjem.2018.08.001
Aldhubaib, Hani A., Mohamed Hassan Ahmed, & Magdy M.A. Salama. (2023) A weather-based power distribution system reliability assessment. Alexandria Engineering Journal, 78. https://doi.org/10.1016/j.aej.2023.07.033
Berrouane, Mohammed Taleb, Faisal Khan, & Kelly Hawboldt. (2021). Corrosion Risk Assessment Using Adaptive Bow tie (ABT) Analysis. Reliability Engineering and System Safety, 214. https://doi.org/10.1016/j.ress.2021.107731
Bompard, Ettore, Tao Huang, Yingjun Wu, & Mihai Cremenescu. (2013). Classification and trend analysis of threats origins to the security of power systems. Electrical Power and Energy Systems, 50, 50-64. https://doi.org/10.1016/j.ijepes.2013.02.008
Brown, Richard E. (2009). Electric Power Distribution Reliability, Second Edition. Florida: CRC Press.
Clavijo-Blanco, J.A., & J.A. Rosendo-Macias. (2020). Failure rates in distribution networks: Estimation methodology and application. Electric Power Systems Research, 185. https://doi.org/10.1016/j.epsr.2020.106398
Garcez, Thalles Vitelli, & Adiel Teixeira de Almeida (2014). A risk measurement tool for an underground electricity distribution system considering the consequences and uncertainties of manhole events. Reliability Engineering and System Safety, 124, 68-80. http://dx.doi.org/10.1016/j.ress.2013.11.007
Groebner, David F., Patrick W. Shannon, Phillip C. Fry, & Kent D. Smith. (2011). Business Statistics: A Decision-Making Approach, Eight Edition. New Jersey: Prentice Hall.
Kafle, Prakash, Manila Bhandari, & Lalit B. Rana. (2022). Reliability Analysis Techniques in Distribution System: A Comprehensive Review. I.J. Engineering and Manufacturing, 2, 11-24. https://doi.org/10.5815/ijem.2022.02.02
Liu, Yongli, Haowen Xiong, & Henglin Xiao. (2022). Detecting XLPE cable insulation damage based on distributed optical fiber temperature sensing. Optical Fiber Technology, 68. https://doi.org/10.1016/j.yofte.2021.102806
Musthopa, Budi Harsanto, & Akhmad Yunani. (2023). Electric Power Distribution Maintenance Model for Industrial Customers: Total Productive Maintenance (TPM), Reliability-Centered Maintenance (RCM), and Four-Discipline Execution (4DX) Approach. Energy Reports, 10, 3186-3196. https://doi.org/10.1016/j.egyr.2023.09.129
Okorie, P.U., & A.I. Abdu. (2015). Reliability Evaluation of Power Distribution Network System in Kano Metropolis of Nigeria. International Journal of Electrical and Electronic Science, 2, 1-5. Retrieved from https://www.researchgate.net/publication/283256559_Reliability_Evaluation_of_Power_Distribution_Network_System_in_Kano_Metropolis_of_Nigeria
Pirbalouti, R. Ghasemi, Behrouz Behnam, & Mohammadreza Karimi Dehkordi. (2023). A Risk-based Approach to Identify Safety-Critical Equipment in Process Industries. Result in Engineering, 20. https://doi.org/10.1016/j.rineng.2023.101448
PLN, PT. (2021). Pedoman Umum Manajemen Risiko Terintegrasi. Jakarta.
Sheehan, Barry, Finbarr Murphy, Arash N. Kia, & Ronan Kiely. (2021). A Quantitative Bow tie Cyber Risk Classification and Assessment Framework. Journal of Risk Research, 24(12), 1619-1638. https://doi.org/10.1080/13669877.2021.1900337
Short, Tom. (2004). Electric Power Distribution Handbook. Florida: CRC Press.
Slatnick, Sam, D. Angevine, J. Cranefield, C. Maddox, M. Overstake, L. Palmer, & A. Younan. (2022). Bow ties Use for High-Consequence Marine Risks of Offshore Structures. Process Safety and Environmental Protection, 165, 396-407. https://doi.org/10.1016/j.psep.2022.07.026
Spacenic, Zeljko, Dragana Makajic-Nikolic, & Sladjana Benkovic. (2022). Integrated FTA-Risk Matrix Model for Risk Analysis of A Mini Hydropower Plant’s Project Finance. Energy for Sustainable Development, 70, 511-523. https://doi.org/10.1016/j.esd.2022.08.024
Vorst, Charles R., D. S. Priyarsono, & Arif Budiman. (2018). Manajemen Risiko Berbasis SNI ISO 31000. Jakarta: Badan Standardisasi Nasional.
Yang, Li, &Jiashen The. (2023). Review on vulnerability analysis of power distribution network. Electric Power Systems Research, 224. https://doi.org/10.1016/j.epsr.2023.109741
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Syaiful Azhari Siregar, Suparno Suparno
This work is licensed under a Creative Commons Attribution 4.0 International License.
