Articles liés à Ann Based Fault Detection, Classification and Distance...

Ann Based Fault Detection, Classification and Distance Location: Protection of double circuit transmission line - Couverture souple

Jain, Anamika

 
9783846545638: Ann Based Fault Detection, Classification and Distance Location: Protection of double circuit transmission line
Couverture souple
ISBN 10 : 3846545635 ISBN 13 : 9783846545638
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Quick detection of fault, classification and fault distance location are desirable features of any protective relaying scheme. Protection of double circuit transmission lines experiences problems due to zero sequence mutual coupling between faulted and healthy circuits. It is affected by network changes such as switching in/out of one of the parallel lines, thus causing under reach/over reach of conventional distance relaying. This book analyses two different approaches based on single and modular artificial neural networks for fault detection/classification and distance location. The proposed method uses the voltages and currents signals available at the local end of line. Effects of variations in power system parameters e.g. fault inception angle, CT saturation, source strengths, fault resistance, type, fault location including the effects of network changes: double circuit and single circuit operation have been investigated extensively on the performance of the neural network based protection scheme.The results of single and modular neural networks indicate that the modular approach detects/classify the faults correctly and estimates the fault distance with more accuracy.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Quick detection of fault, classification and fault distance location are desirable features of any protective relaying scheme. Protection of double circuit transmission lines experiences problems due to zero sequence mutual coupling between faulted and healthy circuits. It is affected by network changes such as switching in/out of one of the parallel lines, thus causing under reach/over reach of conventional distance relaying. This book analyses two different approaches based on single and modular artificial neural networks for fault detection/classification and distance location. The proposed method uses the voltages and currents signals available at the local end of line. Effects of variations in power system parameters e.g. fault inception angle, CT saturation, source strengths, fault resistance, type, fault location including the effects of network changes: double circuit and single circuit operation have been investigated extensively on the performance of the neural network based protection scheme.The results of single and modular neural networks indicate that the modular approach detects/classify the faults correctly and estimates the fault distance with more accuracy.

Biographie de l'auteur

Anamika Jain did her Ph. D. from CSVTU Bhilai,in the year 2010. She worked as Assistant Engineer with CSEB for 4.5 years. Since March 2009 she is serving as a faculty in the dept. of Electrical Engg. at NIT, Raipur, INDIA. Dr. Jain has more than 25 publications in various International Journals and Conferences. She is the member of IEEE & The IET.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3846545635
ISBN 13 
9783846545638
Reliure
Broché
Nombre de pages
140
Coordonnées du fabricant
non disponible
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