Intelligent Fault Identification System for Transmission Lines Using Artificial Neural Network
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
Transmission and distribution lines are vital links between generating units and consumers. They are exposed to atmosphere, hence chances of occurrence of fault in transmission line is very high, which has to be immediately taken care of in order to minimize damage caused by it. This paper focuses on detecting the faults on electric power transmission lines using artificial neural networks. A feed forward neural network is employed, which is trained with back propagation algorithm. 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. The developed neural network is capable of detecting single line to ground and double line to ground for all the three phases. Simulation is done using MATLAB Simulink to demonstrate that artificial neural network based method are efficient in detecting faults on transmission lines and achieve satisfactory performances. A 300km, 25kv transmission line is used to validate the proposed fault detection system. Hardware implementation of neural network is done on TMS320C6713.
Authors and Affiliations
Seema Singh
Keywords
Related Articles
- EP ID EP131296
- DOI -
- Views 106
- Downloads 0
Using Data-Mining Technique for Census Analysis to Give GeoSpatial Distribution of Nigeria.
There are patterns buried within the mass of data in the various editions of population census figures in this country. These are patterns that will be impossible for humans working with bare eyes and hands, to u...
Automatic Speech Recognition For Task Oriented IVRS In Marathi
Abstract: Speech recognition has become a foundation of self-service interactive voice response (IVR) user interfaces. The speech recognition and IVR applications found to be cost-effective and the user friendly, speedie...
A Comprehensive and Comparative Study Of Maze-SolvingTechniques by Implementing Graph Theory
Abstract: This paper presents an efficient maze solving algorithm. IEEE has launched a competition named“Micro mouse” where an autonomous robot or mice solves an unknown maze. The mouse find its way from thestartin...
Structural Analysis of RF Architecture using Crossbar Type Topology for Cryptographic Application
Abstract: The strongly emerging class, Coarse-Grained Re-configurable Architecture (CGRA) is currently receiving attention and also having excellent performance with flexibility in fabrication. An entire range of compone...
Monitoring Road Accidents using Sensors and providing Medical Facilities
The main objective of this paper is to detect an accident in which immediately help is required to driver and driver is not in position to inform any medical rescue team. In this kind of situation there is a need...