Abstract
Electricity is essential in modern life, but damaged power lines cause thousands of electrocutions in India every year. To fix a damaged power line, the power supply is turned off, and a fuse controller is placed on the electric feeder. If the fuse controller trips on a broken wire, the electricity is cut off until the damage is located. This process can be time-consuming and requires resources. This research aims to design a IoT based control system to reduce the time for repairing broken electrical lines and prevent accidents by adopting measures to expedite the repair process, enhance safety, and optimize maintenance efficiency. LoRa devices are installed every 1 km along the cable for a total range of 10 km. A central tower marks the halfway point. A single LoRa device at the tower may be more cost-effective than multiple devices at each pole. A control circuit embedded by transistor and diode safeguard the circuit's integrity and ensure current flows in a single direction, protecting it if a wire between two poles is damaged. After locating damage to a pole, an email is sent to the relevant authority, including location, pole number, and incident time. An automatic alarm will sound when electricity is turned off, warning the public of the danger. Additionally, this system saves time and resources, and is cost-effective.
References
- Wang, Li. "The fault causes of overhead lines in distribution network." In MATEC Web of Conferences, vol. 61, p. 02017. EDP Sciences, 2016.
- Song, Guobing, Zhongxue Chang, Chenhao Zhang, Sayed Tassawar Hussain Kazmi, and Wei Zhang. "A high-speed single-ended fault-detection method for DC distribution line—Part II: Protection scheme." IEEE Transactions on Power Delivery 35, no. 3 (2019): 1257-1266.
- Wang, Xiaowei, Huan Du, Zhenfeng Liang, Liang Guo, Jie Gao, Mostafa Kheshti, and Weibo Liu. "Single phase to ground fault location method of overhead line based on magnetic field detection and multi-criteria fusion." International Journal of Electrical Power & Energy Systems 145 (2023): 108699.
- Varghese P, Rini, M. S. P. Subathra, S. Thomas George, Nallapaneni Manoj Kumar, Easter Selvan Suviseshamuthu, and Sanchari Deb. "Application of signal processing techniques and intelligent classifiers for high-impedance fault detection in ensuring the reliable operation of power distribution systems." Frontiers in Energy Research 11 (2023): 1114230.
- Swain, Akhyurna, Elmouatamid Abdellatif, Ahmed Mousa, and Philip WT Pong. "Sensor Technologies for Transmission and Distribution Systems: A Review of the Latest Developments." Energies 15, no. 19 (2022): 7339.
- Odongo, George Y., Richard Musabe, Damien Hanyurwimfura, and Abubakar Diwani Bakari. "An efficient LoRa-enabled smart fault detection and monitoring platform for the power distribution system using self-powered IoT devices." IEEE Access 10 (2022): 73403-73420.
- Nalinaksh, Kumar, Lokesh Pathak, and Vinay Rishiwal. "An Internet of Things solution for real-time identification of electricity theft and power outrages caused by fault in distribution systems (converting existing electrical infrastructure of third world countries to Smart Grids)." In 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), pp. 1-8. IEEE, 2018.
- Peter, Geno, Albert Alexander Stonier, Punit Gupta, Daniel Gavilanes, Manuel Masias Vergara, and Jong Lung sin. "Smart fault monitoring and normalizing of a power distribution system using IoT." Energies 15, no. 21 (2022): 8206.
- Li, Shengtao, and Jianying Li. "Condition monitoring and diagnosis of power equipment: review and prospective." High Voltage 2, no. 2 (2017): 82-91.
- Eladl, Abdelfattah A., Mohammed A. Saeed, Bishoy E. Sedhom, and Josep M. Guerrero. "IoT technology-based protection scheme for MT-HVDC transmission grids with restoration algorithm using support vector machine." IEEE Access 9 (2021): 86268-86284.
- Bugade, Vilas, Omkar Shinde, Pranav Potdar, and Aditya Patil. "IoT Based Theft Detection in Three Phase Distribution Line." In 2022 IEEE Pune Section International Conference (PuneCon), pp. 1-4. IEEE, 2022.
- Sharma, H. C., Y. K. Gupta, S. K. Atri, P. K. Singhal, R. M. Bhanage, V. K. Dixit, and A. Basu. "Approach & experience of iot based predictive maintenance technologies in power distribution network." Journal International Association on Electricity Generation, Transmission and Distribution 34, no. 1 (2021): 15-22.
- Rao, Gade Kesava, and Premalata Jena. "A novel fault identification and localization scheme for bipolar DC microgrid." IEEE Transactions on Industrial Informatics 19, no. 12 (2023): 11752-11764.
- Dhar, Snehamoy, Rajesh Kumar Patnaik, and P. K. Dash. "Fault detection and location of photovoltaic based DC microgrid using differential protection strategy." IEEE Transactions on Smart Grid 9, no. 5 (2017): 4303-4312.
- Bawart, Manfred, Massimo Marzinotto, and Giovanni Mazzanti. "Diagnosis and location of faults in submarine power cables." IEEE Electrical Insulation Magazine 32, no. 4 (2016): 24-37.
