IoT-Enhanced Fault Detection Mechanisms for Reliable Power Transmission
DOI: 10.56815/IJEMS.V3.I1.2023/60-66
Keywords:
Internet of Things (IoT), Smart Grid, Fault Detection, Transmission Lines, Electrical Power Transmission, Sensor Networks, Real-time Monitoring, Reliability, Advanced Algorithms, SMS Notifications, Remote Accessibility, Power Transmission Networks, Environmental ConditionsAbstract
The integration of Internet of Things (IoT) technology in the power distribution sector has revolutionized the way faults in transmission lines are detected and managed. This abstract introduces an IoT-based approach for the detection of faults in transmission lines, which has become pivotal for enhancing the reliability, safety, and efficiency of electrical power grids. IoT-based fault detection involves the deployment of sensors along transmission lines to monitor electrical parameters and environmental conditions. Real-time data is collected, transmitted to a central server or cloud platform, and analyzed using advanced algorithms and machine learning models. These algorithms identify anomalies in current, voltage, power factor, and other key parameters, enabling the rapid detection of faults. When a fault is detected, real-time alerts are generated for immediate response, potentially preventing power outages and reducing downtime. Furthermore, the IoT system allows for remote monitoring and control, facilitating quick and informed decisions in fault management. Predictive maintenance can also be carried out, increasing the overall reliability of the power distribution network. This abstract outlines the key components and benefits of an IoT-based fault detection system, emphasizing its potential to revolutionize the way transmission line faults are managed, ultimately ensuring a continuous and dependable supply of electricity.
