Microcontroller-based Fault Detection and Localization in Underground Transmission Lines
Keywords:
Arduino UNO, Fault, LCD, Microcontroller 8051, Reliability, Underground transmission lineAbstract
Cable fault localization is crucial for power transmission, distribution, communication systems, and vehicles. Reliable fault detection in underground power cables is essential for ensuring the continuity, safety, and operational efficiency of modern power distribution systems. This study proposes a microcontroller-based technique for precise fault localization using the Arduino Uno platform. The system estimates the distance to a fault by applying Ohm’s law, exploiting the proportional relationship between cable impedance and length. Variations in voltage caused by fault conditions are sensed and processed to determine the exact fault position in kilometres. The proposed method employs a regulated low DC test signal injected from the feeder end of the cable. When a fault occurs, the resulting change in current modifies the voltage distribution across a calibrated series resistor network that represents discrete cable segments. These analog voltage variations are captured by the Arduino Uno’s 10-bit analog-to-digital converter (ADC) and converted into digital signals for computational analysis. A mapping algorithm correlates the measured electrical parameters with the corresponding cable length, enabling accurate and real-time fault distance estimation. For experimental validation, a scalable resistor ladder model is developed to simulate underground cable sections, while switches positioned at predefined intervals emulate various fault scenarios, including short-circuit conditions. The detected fault distance and affected phase are displayed locally on an interfaced liquid crystal display (LCD). Additionally, a GSM communication module is integrated to transmit automated fault notifications via short message service (SMS) to authorized personnel, thereby supporting remote monitoring and faster response times. The proposed system provides a cost-effective, scalable, and efficient solution for underground cable fault detection. Its implementation can significantly reduce fault identification time, minimize service interruptions, and improve maintenance strategies in contemporary power transmission and distribution networks.
References
Q. Shi, U. Troeltzsch and O. Kanoun, “Detection and localization of cable faults by time and frequency domain measurements,” 2010 7th International Multi-Conference on Systems, Signals and Devices, Amman, Jordan, 2010, pp. 1–6.
X. Yang, “A line to ground fault location algorithm for underground cable system,” The Transactions of the Korean Institute of Electrical Engineers, vol. 54, no. 6, pp. 267–273, Jun. 2005.
P. Makming, S. Bunjongjit, A. Kunakorn, S. Jiriwibhakorn and M. Kando ‘Fault diagnosis in transmission lines using wavelet transforms’, IEEE Transmission and Distribution Conference, Yokohama, Japan, pp. 2246–2250. October 2002.
A. Ferrero, S. Sangiovanni and E. Zappitelli, "A fuzzy-set approach to fault-type identification in digital relaying” Proceedings of IEEE/PES Transmission and Distribution Conference, Chicago, IL, USA, vol. 10, no. 1, pp. 269–275. 1994.
Vaisnavananthini, P., K. Gnanambal, and N. Vimal Radha Vignesh. “Underground cable fault detection using Arduino." AIP Conference Proceedings. vol. 2831. no. 1, AIP Publishing LLC, 2023.
B. Bairwa, S. Rathod, U. R. Yaragatti, and M. K. A., “Development of a fault detection method in cable using Arduino Uno,” in Proc. 2022 IEEE 7th Int. Conf. Recent Advances and Innovations in Engineering (ICRAIE), 2022, pp. 472–476.
M. M. Amarnath, B. Ganesh Ram, V. Chandrasekaran, and G. Mohan Ram, “IoT based on underground cable fault identification using Arduino,” Int. Res. J. Eng. Technol. (IRJET), vol. 8, no. 4, pp. 158162 Apr. 2021.
J. Patel, S. Pawar, Pratik Sutar, and Smitesh Gaychor, “Underground Cable Fault Detector,” International Journal of Engineering Research & Technology, vol. 10, no. 9, Sep. 2021.
K. Chen, C. Huang, and J. He, “Fault detection, classification and location for transmission lines and distribution systems: a review on the methods,” High Voltage, vol. 1, no. 1, pp. 25–33, Apr. 2016.
S. Suteerawatananon, Y. Chompusri, N. Charbkaew and T. Bunyagul, "Design of a Low Cost Microcontroller Based High Impedance Fault Detector," 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Chiang Rai, Thailand, 2018, pp. 552-555.
A. S. Pawar, S. N. Sondkar, S. G. More, and V. B. Tarate, “Underground Cable Fault Detection System”, Int J Sci Res Sci Eng Technol, vol. 11, no. 2, pp. 256–259, Apr. 2024.
J. P. Melanta, Y. R. Kotian, M. S., S. P. B., and M. Pavanalaxmi, “IoT-based underground cable fault detector,” in Proc. 2023 IEEE Int. Conf. Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), Mangalore, India, 2023, pp. 105–110.
S. B., S. Kumar, S. Bansod, and P. Pal, “Artificial intelligence-based power fault detection and power restoration,” in Proc. 2022 Int. Conf. Electronics and Communication Engineering and Applications (ICECA), 2022, pp. 1285–1291.
B. Clegg, Underground cable fault location. New York, NY, USA: McGraw-Hill, 1993.
X. Yang, M.-S. Choi, S.-J. Lee, C.-W. Ten, and S.-I. Lim, “Fault location of underground power cable using distributed parameter approach,” IEEE Trans. Power Syst., vol. 23, no. 4, pp. 1809–1816, Nov. 2008.