automatic fault detection in transmission line literature review

International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8, Issue-6S3, September 2019, "Transmission Line Fault Detection, Classification and Location using Wavelet TransformTransmission Line Fault Detection, Classification and Location using Wavelet Transform"

This article introduces a new algorithm for overhead line fault detection, classification and location using Wavelet Transform (WT) based on Discrete Wavelet Transform (DWT). The various system errors such as LG, LLG, and LLLG in the transmission line must be quickly detected, classified, and located. The proposed method relies on the voltage and current signal information from the power model in MATLAB to generate the transient voltage and current signal. both in the time and in the frequency domain. The DWT, using “db6” as the mother wave, is used to capture transient current signals and extract the high-frequency detail coefficient to detect and classify fault disturbances. The grading procedure is based on the threshold of land. The fault location is performed by obtaining the fault information from the originating terminal end to the remote terminal end along with the entire transmission line. Length. The proposed method is tested in the MATLAB/SIMULINK environment using the Simulink model. In the simulation process, the proposed algorithm reached the error-detection, classification and localization of the eleven types of possible faults in the transmission line and the result is compared with the AR and MED method.


Aditya Sharma, Himanshu Sharma, Md Irfan Ahmed B.Tech Student, Electrical Engineering Department Career Point University, Kota, Rajasthan, Kota, India" Arduino Based Underground and Overhead Cable Fault Detection"International Journal of Engineering and Information Systems (IJEAIS) ISSN: 2000-000X

This document describes how to calculate the distance of underground and overhead transmission cables from the fault location to the base station using Arduino. A fault detection and location system based on intelligent technology has been used in this document to reasonably and accurately display and locate the fault that has occurred. This results in a shorter reaction time, e.gtechnical personnel to troubleshoot these faults, thereby helping to save transformers and other electrical equipment from damage and disasters. For underground cable (UC) fault detection, we use the concept of Ohm's law. UC has many types and has different resistances depending on the cable length. Low DC voltage is applied at the end of the feed via the series resistance (wirelines). the current would vary depending on the location of the fault in the cable. When shorted (line to ground), the voltage across the series resistor changes accordingly, which is fed to the Arduino's onboard ADC  to develop accurate digital data for a meter reading. In this document, the resistance theorem, which represents the length of the cable  (in meters) and the error, is generated using the appropriate theory moment in meters to check accuracy. The error will be displayed on the liquid crystal display (LCD) connected to the Arduino. fails and sends information to the microcontroller. The microcontroller recognizes this command and displays it on the liquid crystal display (LCD). The system uses an Arduino board, liquid crystal display (LCD), relay, resistors, power supply, etc. Arduino system detects errors, analyzes and classifies these errors and then determines the error distance. The fault information is then transmitted to the control room.

Mr.P. Radhakrishnan, M. Priya, K. Reshmeetha, M.S. Rojaharshini41Assisstant Professor, Dept. of EEE, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India."Detection of Multiple Faults in Transmission Line using IoT "

Transmission lines are susceptible to a  variety of failures due to transmission line conditions. The fault is difficult to diagnose and the entire cable must be replaced. a microcontroller. In the event of a  fault, the voltage across the series resistors will change accordingly, which is then fed to an ADC to develop accurate digital data for a program. It also shows the location of the error distance. The location can be tracked using GPS. The distance, phase and time of the fault are shown on a 16x2 LCD display connected to the microcontroller. IoT is used to display information over the internet using the WiFi module. A web page is created using HTML coding, and error occurrence information is displayed on a web page.

Sajal Menon, DonTommey, RejoiceThomas Paul, KrishnapriyaVinod, Rajalakshmi Menon, B.Tech Student, PG Scholar, "Automatic Fault Detection and Location of Transmission Lines using IoT" GRD Journals | GRD Journal for Engineering | National Conference on Emerging Research Trend in Electrical and Electronics Engineering (ERTE’19) | May 2019 e-ISSN: 2455-5703

Leakage current is one of the main problems faced by the company recently. Controlling this leak is nearly impossible as power transmission lines stretch millions of kilometres across the country. The only way to solve this problem is to develop a mechanism that will automatically detect the fault in an electrical transmission line and inform the authorities. of a specific location. In this project, you will develop a device that uses sensors to detect incoming and outgoing values ​​and detect anomalies. And the system will be integrated with the IoT mechanism to intimidate the responsible persons with real-time leak location and size information with an app.

Prof. Vikramsingh R. Parihar1, Shivani Jijankar, Anand Dhore, Arti Sanganwar, Kapil Chalkhure" Automatic Fault Detection in Transmission Lines using GSM Technology"International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering ISO 3297:2007 Certified Vol. 6, Issue 4, April 2018

The electrical power system is divided into many different sections. One of them is the transmission system, in which electricity is transmitted from power plants and substations to consumers via transmission lines. .The outage is simply defined as a number of undesirable but unavoidable occurrences that can temporarily disrupt the steady-state of the power system that occurs when system isolation fails at any point. An intelligent GSM-based fault detection and location system was used to correctly and accurately display and locate the fault. This ensures a shorter response time for technical personnel to fix these faults, thus helping to save transformers from damage and disasters. The system uses a current converter, a voltage converter, a PIC 16F877 microcontroller, an RS232 port and a GSM modem. The system automatically detects faults, analyzes and classifies these faults, and then calculates the fault's distance from the control room using an impedance-based algorithm method. Finally, the fault information is transmitted to the control room. In summary, the time required to locate a fault is drastically reduced. , since the system is automatic and accurate and provides accurate fault location information. By using this project, we can detect the faults of the three-phase transmission lines, it can monitor the temperature, voltage and current via a GSM modem by sending a message

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