Abstract : The fault occurred in transmission line is very much dangerous for the locality. In HV and EHV transmission line there are less fault occurrence but in locality the fault occurrence is more as compared to outer transmission line. In our prototype we design a model which is to be detect the fault in transmission line by comparing the voltage signal between the transmission line and a reference value, the reference value is predetermined and if the transmission line voltage is more than or less than reference value then fault is to be shown in display. The information regarding fault occurrence in particular phase is send to web page via IOT device which is NODE MCU(Esp8266) and also shown in display. The optocoupler is used to sense the voltage and send output to microcontroller IC. Here microcontroller IC ATMEGA 16 is used in this IC programming is done which compare the voltage signal and send output to IOT module and display. The power supply is provided to supply 5-volt dc power to all component this supply is separate from the supply which is used to check the fault occurrence.
 ? The electric power grid is highly vulnerable to a variety of natural actions, which can have a considerable effect on power system operation. ? A faulted segment can be determined from audible or electromagnetic signals and requires dispatching crew members to the outage area. There have been various techniques largely used in the industries, including the tracing approach through acoustic, electromagnetic or current. ? It is a technique used to detect fault location of cable from one or both ends without tracing.
 ? There is lack of GPS signal in some rural areas. ? High initial cost. ? The only work that addresses the problem of finding optimal locations of cellular transceivers is presented. ? This problem is to come up with a mechanism that can detect the fault in electricity transmission line automatically and intimate the authorities with a specific location.
 • The use of sensor networks has been proposed for several applications like mechanical state processing and dynamic transmission line rating applications. • The hierarchical model proposed in, offers a very expensive solution with the idea of deploying cellular transceivers on every tower. • The proposed neural fault detector and locator were trained using various sets of data available from a selected power network model and simulating different fault scenarios and different power system data (source capacities, source voltages, source angles, time constants of the sources).
 ? There is an approaching need to equip the age old transmission line infrastructure with a high performance data communication network, that supports future operational requirements like real in the time record and control necessary for smart grid integration. ? The electric power infrastructure is highly vulnerable against many forms of natural and malicious physical events, which can adversely affect the overall performance and stability of the grid. ? The paper proposes a very simple, fast efficient and cost-effective approach to identify the fault location in the transmission network.

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