An Efficient Perceptive Fault Detection System Using IoT

Fault detection and isolation are critical factors in the design and development of transmission and distribution systems. Prompt and accurate fault detection safeguards these systems by isolating the faulty section, preventing damage to other components. Effective fault detection and location identification enable service providers to address issues swiftly, minimizing power outages and ensuring uninterrupted service to consumers. This project aims to detect faults and disconnect the faulty segments in real time using AWS cloud technology. The proposed model identifies faults in the transmission line (represented here by a bulb) through a microcontroller, with fault information transmitted to the service provider via IoT. This approach is essential for the protection and maintenance of power systems. Traditional methods, which rely on current and voltage transformers and manual measurements, are expensive and require constant operator presence. The proposed solution offers a more efficient and cost-effective alternative.