International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 46 - Issue 20 |
Published: May 2012 |
Authors: Suman Kumar Saha, Priyanath Das, Ajoy Kr Chakrabothy |
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Suman Kumar Saha, Priyanath Das, Ajoy Kr Chakrabothy . An ANN based Relay Design for Identication Faults of 400kv High Voltage AC Transmission Line. International Journal of Computer Applications. 46, 20 (May 2012), 6-13. DOI=10.5120/7055-9447
@article{ 10.5120/7055-9447, author = { Suman Kumar Saha,Priyanath Das,Ajoy Kr Chakrabothy }, title = { An ANN based Relay Design for Identication Faults of 400kv High Voltage AC Transmission Line }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 46 }, number = { 20 }, pages = { 6-13 }, doi = { 10.5120/7055-9447 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Suman Kumar Saha %A Priyanath Das %A Ajoy Kr Chakrabothy %T An ANN based Relay Design for Identication Faults of 400kv High Voltage AC Transmission Line%T %J International Journal of Computer Applications %V 46 %N 20 %P 6-13 %R 10.5120/7055-9447 %I Foundation of Computer Science (FCS), NY, USA
This Paper Presents the modelling and identification of faults of a 400KV high voltage AC transmission line by using PSCAD/EMTDC Software and design an ANN Based distance relay in MATLAB NNTOOLBOX. The ANN Based distance relay which can differentiate the fault conditions from normal operating conditions. The Artificial neural network technique allowed us to analyse the performance of relay at various faulted condition and Produced a trip signal if a fault is generated and no trip Signal otherwise. In this paper feed forward neural network is developed in MATLAB using supervised training and delta learning rule for obtain the best Performance of the relay. The simulation result shows that the proposed scheme is able to identify all the faults on transmission line with great selectivity, reliability and sensitivity.