Design of IoT-Based Transmission Line Fault Monitoring System

Power is transmitted from the generation plants to end users at distant locations through the transmission lines. Due to various environmental conditions, faults may occur causing power interruption to end users and damage to the power system. The operators cannot know information about fault immediately. To classify the faults, various methods have been developed such as transient analysis, phasor measurement units and artificial neural networks based approaches. The purpose of this project is to detect and classify the faults in transmission lines using IoT in addition with fuzzy logic for fault classification. In this project, we are designing a system to collect data from the transmission lines to detect and classify the faults, and then, data is transmitted to the cloud and SMS alert is sent to the operator. The project used MATLAB Simulink to simulate generally occurring faults and detecting them.