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Improved Islanding Detection Methods For Distributed Generators - Couverture souple

Shrivastava, Smita; Chaurasia, Vijayshri

 
9783639710625: Improved Islanding Detection Methods For Distributed Generators
Couverture souple
ISBN 10 : 3639710622 ISBN 13 : 9783639710625
Editeur : Scholars' Press, 2017

Synopsis

Islanding detection is an essential requirement of the modified power system scenario with increased penetration of DGs. A new detection technique based on wavelet energy entropy identification and active frequency drift confirmation approach has been proposed. Wavelet energy entropy is proposed as a solid indicator for possible islanding operation. As an active approach, frequency drift anti-islanding algorithm is proposed robustly shift the voltage frequency into the tripping window. The proposed method reduces time of detection leading to reliability. The technique also reduces non detection zone of passive method approximately to zero. These benefits of proposed method not only improve dependability of the detection but also overcome the power quality degradation issue of active method, as perturbation is not applied continuously in the system. The time taken by this dual level approach is much shorter than other hybrid methods as response time of wavelet entropy indicator is in ms and speed of active frequency drift is improved by adjusting parameters without any restriction on power quality degradation.

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

Présentation de l'éditeur

Islanding detection is an essential requirement of the modified power system scenario with increased penetration of DGs. A new detection technique based on wavelet energy entropy identification and active frequency drift confirmation approach has been proposed. Wavelet energy entropy is proposed as a solid indicator for possible islanding operation. As an active approach, frequency drift anti-islanding algorithm is proposed robustly shift the voltage frequency into the tripping window. The proposed method reduces time of detection leading to reliability. The technique also reduces non detection zone of passive method approximately to zero. These benefits of proposed method not only improve dependability of the detection but also overcome the power quality degradation issue of active method, as perturbation is not applied continuously in the system. The time taken by this dual level approach is much shorter than other hybrid methods as response time of wavelet entropy indicator is in ms and speed of active frequency drift is improved by adjusting parameters without any restriction on power quality degradation.

Biographie de l'auteur

Smita Shrivastava received her B.E. and M.E. Degree from Government Engineering College Jabalpur India, and the Ph.D. degree from National Institute of Technology Bhopal India. Currently she is Professor in Hitkarini college of engineering and Technology Jabalpur. Her research interests include power system, distributed generation, renewable energy.

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

Éditeur
Scholars' Press
Date d'édition
2017
Langue
anglais
ISBN 10 
3639710622
ISBN 13 
9783639710625
Reliure
Broché
Nombre de pages
132
Coordonnées du fabricant
non disponible
Personne responsable
non disponible