Open Access Open Access  Restricted Access Subscription Access

Iot Based Fault Detection in Distribution Line

Prof. Megha Upase, Naveen Kumar, Mahesh Munnolli, Kumar Mathpati, Arun Kumar

Abstract


Ensuring the reliable and efficient transmission of electrical power is essential for maintaining uninterrupted energy supply across modern infrastructures. Faults in transmission lines such as short circuits, line-to-ground, or equipment failures can result in blackouts, damage to electrical assets, economic setbacks, and serious safety concerns. Traditional detection methods, which relay on manual inspections or basic protection mechanisms, often suffer from delays and inaccuracies, leading to longer service interruptions and higher operational costs. This paper presents a study on the latest fault detection technologies designed to enhance the safety and stability of electrical power systems. The integration of automated tools such as smart grid infrastructure, real-time monitoring devices, and AI-driven diagnostic systems has transformed the way utilities manage faults. These intelligent systems enable early detection, precise fault classification, and accurate location tracking, ensuring quicker response times and minimal disruption to services. Modern fault detection techniques find application in a wide range of sectors, including electric utilities, industrial automation, smart grids, railways, hospitals, and renewable energy plants. Technologies like digital protective relays, condition-based maintenance, and automatic fault isolation help reduce the impact of system disturbances and increase the resilience of the power grid. The benefits of deploying these advanced systems include improved grid stability, lower repair and downtime costs, enhanced worker and equipment safety, and stronger adherence to regulatory compliance. Looking ahead, the use of Internet of Things (IoT) platforms, machine learning algorithms, and self-healing network capabilities is expected to further revolutionize fault detection and recovery strategies. These innovations aim to make power systems more adaptive, sustainable, and responsive to future energy challenges. In conclusion, the shift from outdated fault detection techniques to smart, automated solutions is essential for building a modern, reliable, and efficient power transmission infrastructure.


Full Text:

PDF

References


Powerline Fault Detection and Location Tracking with GSM. 1st Sreejith P R, 2nd Fathima M M, 3rd Krishna sprasad V N, 4th Joseph Raphy, 5th Anju George, 6th Jaimy James 2024 International Conference on Circuit Power and Computing Technologies(ICCPCT).

Power Cable Fault Recognition and Location Using Phase-mode and Wavelet Changfeng Xu, Mei Wang, PaiWang, Xuebin Qin, Liang Wang. ( 2016 International Symposium on Computer, Consumer and Control ).

Iot Based Transmission Line Multiple Fault Detection And Indication. Eb Mr.S.Surendiran1, D. Naveen Kumar2, S. Palraj3, S. Sankar4, K. Vignesh5 ( International Journal Of Creative Research Thoughts(Ijcrt)).

Transmission Line Fault Detection Using Arduino With Gsm. Mr. P.A. Thorat1, Mr. Niranjan Patil2, Mr.Vedant Jadhav3, Mr. Sakib Nadaf4, Mr. Sudhaunshu Dharmadhikari5 (International Research Journal of Modernization in Engineering Technology and Science).

Gsm Technology Based Fault Detection In Overhead Transmission Line. Devesh Singh Sidar1, Dr. Abhishek Verma2 , Prateek Agrawal3, Aman Kumar4 (International Journal of Advanced in Management, Technology and Engineering Sciences).


Refbacks

  • There are currently no refbacks.