Design an Electronic System to Detect, Analysis and prevent Fault during 3 Phase Power Transmission using WSN Technology

  • Unique Paper ID: 174328
  • PageNo: 4693-4701
  • Abstract:
  • The complexity of the electric power system is escalating due to rising electricity demand, yet the current control systems are inadequate for ensuring safety, efficiency, and reliability. Transmission lines, which carry power over vast distances from generating stations, are frequently plagued by faults caused by lightning strikes, short circuits, insulation failures, operational errors, human mistakes, and overloads. These issues often result in significant damage to critical electrical components. To maintain an uninterrupted power supply and minimize damage to the system's infrastructure, it is imperative that we detect these faults swiftly. Identifying and locating faults quickly is crucial for maintaining a healthy power system operation. A robust protection scheme should efficiently pinpoint fault locations and isolate only the affected sections to reduce overall impact. Despite advancements in microcontroller-based systems for fault analysis and protection through wireless sensor network technology (WSN), there remains much room for improvement. This research project attempts to address these challenges by proposing a cutting-edge monitoring system using cloud-supported Zigbee technology that provides real-time data on transmission line conditions. The proposed solution has been tested with Proteus software simulations but still relies heavily on theoretical models.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{174328,
        author = {Priyanka Vijayrao Pittalwar and Malvika Saraf},
        title = {Design an Electronic System to Detect, Analysis and prevent Fault during 3 Phase Power Transmission using WSN Technology},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {4693-4701},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174328},
        abstract = {The complexity of the electric power system is escalating due to rising electricity demand, yet the current control systems are inadequate for ensuring safety, efficiency, and reliability. Transmission lines, which carry power over vast distances from generating stations, are frequently plagued by faults caused by lightning strikes, short circuits, insulation failures, operational errors, human mistakes, and overloads. These issues often result in significant damage to critical electrical components. To maintain an uninterrupted power supply and minimize damage to the system's infrastructure, it is imperative that we detect these faults swiftly. Identifying and locating faults quickly is crucial for maintaining a healthy power system operation. A robust protection scheme should efficiently pinpoint fault locations and isolate only the affected sections to reduce overall impact. Despite advancements in microcontroller-based systems for fault analysis and protection through wireless sensor network technology (WSN), there remains much room for improvement. This research project attempts to address these challenges by proposing a cutting-edge monitoring system using cloud-supported Zigbee technology that provides real-time data on transmission line conditions. The proposed solution has been tested with Proteus software simulations but still relies heavily on theoretical models.},
        keywords = {3-Phase Fault Detection, Analysis, WSN Technology, 8051 controllers etc.},
        month = {April},
        }

Cite This Article

Pittalwar, P. V., & Saraf, M. (2025). Design an Electronic System to Detect, Analysis and prevent Fault during 3 Phase Power Transmission using WSN Technology. International Journal of Innovative Research in Technology (IJIRT), 11(10), 4693–4701.

Related Articles