DESIGN OF IOT BASED TRANSMISSION LINE FAULT MONITORING SYSTEM

Electrical power is transmitted from the generation plants to end-users at distant locations through the transmission lines. These lines are exposed to various environmental conditions and faults may occur causing power interruption to endusers, damage to the power system. These faults are known to operators only from the end-users when power is interrupted, besides the operators cannot locate the fault immediately and it is exhausting work to locate them. To protect the system from faulty currents or voltages, circuit breakers are used and these are operated by relays. To classify the faults various methods have been developed such as transient analysis using wavelet transform of voltage and current signals, phasor measurement units, artificial neural networks-based approaches, etc. The method of transient analysis is very accurate but involves high computation and the practical implementation is difficult. The purpose of this project is to detect and classify the faults in transmission lines using IoT in addition to the traditional methods. In this project, we are proposing to deploy voltage, current sensors on power lines and collect data from them to detect and classify the faults. This data is then transmitted to the cloud and then an SMS alert is sent to the operator. The project used MATLAB Simulink to simulate generally occurring faults and detecting them by using a technique based on Fuzzy Logic.