Dynamic Modeling and Analysis of Earth Fault Detection Systems in Power Transmission

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Abstract

This study presents a comprehensive approach to the modeling, simulation, and analysis of single line-to-ground (SLG) fault detection in high-voltage power transmission systems. A dual-unit detection system was developed, integrating a MATLAB/Simulink-based simulation model with a microcontroller-based hardware unit for real-time fault identification and communication. The simulation model replicates the behavior of a 132 kV transmission line under various SLG fault conditions, while the hardware unit employs voltage and current sensors connected to an Arduino Uno and GSM module to detect faults and transmit location alerts. Experimental procedures included controlled fault injection, waveform analysis, and algorithmic fault distance estimation using zero-sequence currents and voltage dips. Simulation outcomes demonstrated high location accuracy, with error rates consistently below 0.75% across a fault distance range of 30–300 km. The system exhibited fast response times, high precision, and cost-effectiveness, indicating strong potential for deployment in power grids of developing regions. The integrated software-hardware architecture offers a scalable and efficient solution for minimizing downtime and enhancing fault response coordination in transmission networks.

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Article Details

How to Cite
Danladi, M. N., Bal, Y. B., & Muhammad, F. (2025). Dynamic Modeling and Analysis of Earth Fault Detection Systems in Power Transmission. Asian Journal of Science, Technology, Engineering, and Art, 3(4), 1467-1478. https://doi.org/10.58578/ajstea.v3i4.6728

References

Aker, E., Temitope, I., Abubakar, M. R., & Adedeji, A. (2020). Fault Detection and Classification Using Discrete Wavelet Transform. Energies, 13(1)

Al-Khazraji, H. J., Altaie, A. S., Saeed, A. S., & Hasan, H. T. (2023). Fault Detection on Power Transmission Line Based on Wavelet Transform and Scalogram Image Analysis. Energies, 16(23)

Alzyoud, M. E., & Akinwale, T. O. (2022). Performance Evaluation of Conventional Relays Under Evolving Grid Conditions. International Journal of Electrical Power Systems

Alzyoud, R. A., Younes, H. A., & Mohammed, M. S. (2022). Modeling and Simulation of Distance Protection for Transmission Lines With Different Grounding Methods. International Journal of Power Systems, 7, 86–100.

El-Moursi, M. S., Sharaf, A. M., & Al-Sunni, F. (2019). A Flexible Fault Detection and Protection Scheme for Transmission Systems. IEEE Transactions on Power Delivery, 34(5), 1931–1939

Godswill, G. M., Nwachukwu, C. A., & Opara, B. I. (2023). AI-Driven Fault Classification in Nigerian 132 kV Transmission Grid Using Hybrid Neural Networks. Nigerian Journal of Electrical Engineering, 13(1), 15–24.

Porawagamage, G., Perera, S., & Fernando, T. (2024). A Review of Machine Learning Applications in Power System Protection. Frontiers in Smart Grids, 3.

Rahman, M. M., & Iqbal, A. (2018). Design and Implementation of GSM Based Fault Indication System for Underground Cables. International Journal of Scientific & Engineering Research, 9(5), 13–18.

Sharma, A., & Mahajan, R. (2017). Arduino-Based Underground Cable Fault Detection System. International Journal of Engineering Research & Technology (IJERT), 6(6), 529–533.


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