Diagnosis of Electricity Distribution Network Disturbances Using Fault Tree Analysis

  • Ramli Mahaddin Hutajulu Universitas Pembangunan Panca Budi, Medan, North Sumatera, Indonesia
  • Dino Erivianto Universitas Pembangunan Panca Budi, Medan, North Sumatera, Indonesia
  • Muhammad Erpandi Dalimunthe Universitas Pembangunan Panca Budi, Medan, North Sumatera, Indonesia
Keywords: Electrical Distribution Disturbances, Fault Tree Analysis, PLN ULP Balige, System Reliability, and Root Causes

Abstract

Disruptions in the electricity distribution network are one of the main problems that can reduce the reliability of electricity supply to customers. PT PLN ULP Balige as a customer service unit has the responsibility to ensure the continuity and quality of electricity distribution services in its operational area. This study aims to analyze the main causes of electricity distribution network disruptions using the Fault Tree Analysis (FTA) method. This method is used to identify the root causes of disruptions with a deductive approach arranged in the form of a fault tree. The data used in this study were obtained from disruption reports over the past year that occurred in the medium and low voltage distribution network at PT PLN ULP Balige. The results of the analysis indicate that several dominant factors causing disruptions include equipment component damage (such as transformers and cables), weather disturbances, and other external factors. With FTA modeling, logical relationships between causes can be systematically mapped, thereby facilitating the evaluation process and technical decision-making. This study is expected to be a basis for PT PLN ULP Balige in formulating prevention strategies and improving the reliability of the electricity distribution system through a more structured analytical approach.

Downloads

Download data is not yet available.

References

Basuki, E. (2017). Reliability Analysis of Electrical Distribution Systems Using the FTA (Fault Tree Analysis) Method. Journal of Electrical and Computer Engineering, 6(2), 85–92
Darmawan, I., & Nurcahyo, A. (2020). Analysis of the Causes of Electricity Distribution Network Disruptions Using Statistical Methods and FTA. Indonesian Journal of Energy and Electricity, 9(1), 15–22.
Dani, A., & Erivianto, D. (2022). STUDY OF SOLAR POWER GENERATION SYSTEM
OFF GRID HOUSEHOLD SCALE IN BAGAN DELI AREA USING Pvsyst.Indonesian Journal of Social Technology,3(9).
Dani A, et al (2024)The potential of rooftop solar electric energy on campus buildings is high
School of Technology Sinar Husni using helioscope software. Jurnal Info Sains: Informatics and Science, 14(01), 219-231.
Dalimunthe, ME, Lubis, Z., Sutejo, E., & Sari, DP (2023). Analysis of Solar Cell Potential in Building I of Pembangunan Panca Budi University.Fidelity: Journal of Electrical Engineering,5(2), 102-109.
Erivianto D et al (2024)Training on the Use of Programmable Logic Controllers (PLC) to Improve Technician Competence at PT. Prima Multi Peralatan. Pedamas (Community Service), 2(03), 762-769.
IEC. (2006). IEC 61025: Fault Tree Analysis (FTA). International Electrotechnical Commission.
Naidu, M. S., & Kamaraju, V. (2015). High Voltage Engineering (5th ed.). New Delhi: McGraw-Hill Education.
PLN (2023). Distribution Network Disruption Report of PT PLN ULP Balige 2023. Balige: PT PLN (Persero) Customer Service Unit.
Suparman, H. (2019). Electric Power Distribution System Maintenance Management. Yogyakarta: Deepublish.
Villemeur, A. (1992). Reliability, Availability, Maintainability and Safety Assessment: Methods and Techniques. New York: Wiley.
Widodo, A., & Santosa, P. (2018). Electrical Protection System Planning for 20 kV Distribution Networks. Surabaya: ITS Press.
Published
2025-08-28
How to Cite
Ramli Mahaddin Hutajulu, Dino Erivianto, & Muhammad Erpandi Dalimunthe. (2025). Diagnosis of Electricity Distribution Network Disturbances Using Fault Tree Analysis. INFOKUM, 13(06), 1864-1877. Retrieved from https://infor.seaninstitute.org/index.php/infokum/article/view/3018
Section
Articles