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    Projects > ELECTRONICS > 2021 > NON IEEE > EMBEDDED SYSTEMS

    Wireless Transmission Line Fault detection


    Abstract

    Transmission line protection has been predominantly based on the amplitude or phase comparison of two or more sinusoidal relaying quantity using either an electromechanical or solid state devices. These methods involve voltage and current measurement. Transmission line protection is an important issue in power system engineering because 85-87% of power system faults are occurring in transmission lines. Fault detection on transmission lines are important task to safeguard electric power systems. When a fault occurs in transmission line, unless it is severe it is unseen. But gradually these minor faults can lead to damage of transformer and can turn havoc to human life. It may also initiate fire. This project is developed for the users to detect the fault in transmission and to inform the EB in wireless manner. It consists of power sensor, arduino microcontroller unit, GSM etc. In the house/industries, the microcontroller unit is connected with the power transmission line through power sensor. The status of electricity is sensed by the arduino microcontroller. In the time of power fault, the sensor sends signal to the microcontroller. The microcontroller analyses the signal and accordingly it sends signal to the GSM. GSM sends fault related message to the EB Office through microcontroller unit. The microcontroller used is Arduino and the microcontroller program is written in Arduino language.


    Existing System

    This system presented a thesis based on detecting, classifying and locating faults on electric power transmission lines. Fault detection, fault classification and fault location have been achieved by using artificial neural networks. Feedforward networks have been employed along with back propagation algorithm for each of the three phases in the Fault location process. Analysis on neural networks with varying number of hidden layers and neurons per hidden layer has been provided to validate the choice of the neural networks in each step.


    Proposed System

    The Arduino microcontroller which serves as the heart of the entire system enables access to real time state of the system. It receives the perceived parameter during power transmission, detect breach in short circuit limit set by comparing the current sensed with the pre-set limit. If the current sensed is more than the pre-set current short circuit limit, the NODE-MCU sends a signal to the Wi-Fi and an alert is displayed on the mobile App. The admin arranges the person to rectify the transmission fault. After successful fault rectification the app displays the rectified notification in the mobile app.


    Architecture


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