9783845415741 - Series Compensated Line Protection using Support Vector Machine: An Innovative Protection Approach de Ramadan, Mohamed; Y. Abdelaziz, Almoataz; M. Ibrahim, Amr (9 resultados)

Condición: New. pp. 140.

Taschenbuch. Condición: Neu. Series Compensated Line Protection using Support Vector Machine | An Innovative Protection Approach | Mohamed Ramadan (u. a.) | Taschenbuch | 140 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845415741 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recently, series compensation is widely used in transmission. However, this creates several problems to conventional protection approaches.This book presents a comprehensive distance and overcurrent protection approach for series compensated transmission line using support vector machine (SVM).SVM is considered as a new powerful Artificial Intelligence (AI) technique. In a short period of time, SVM has been applied to numerous applications such as transformer faultdiagnosis, power system disturbances, relay coordination, transient stability of power system and fault classification of transmission line. This is due to the advantages of SVM over traditional approaches. The SVMs are trained with different kernel functions with different parameter values to get the most optimized model. Simulation studies have been considered for different operating conditions, including wide variations of load angle, fault inception angle, fault resistance and fault location.In addition to series compensated transmission line protection studies, the book also includes fault analysis of high voltage transmission linewithout compensation. 140 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ramadan Mohamed(S 11)He received B.Sc.(Hons) and M.Sc. in Electrical Engineering from Ain Shams University, Faculty of Engineering in 2007 and 2011 respectively.He is currently working towards the PhD degree in University of Toronto.

Condición: New. Print on Demand pp. 140 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 140.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Recently, series compensation is widely used in transmission. However, this creates several problems to conventional protection approaches.This book presents a comprehensive distance and overcurrent protection approach for series compensated transmission line using support vector machine (SVM).SVM is considered as a new powerful Artificial Intelligence (AI) technique. In a short period of time, SVM has been applied to numerous applications such as transformer faultdiagnosis, power system disturbances, relay coordination, transient stability of power system and fault classification of transmission line. This is due to the advantages of SVM over traditional approaches. The SVMs are trained with different kernel functions with different parameter values to get the most optimized model. Simulation studies have been considered for different operating conditions, including wide variations of load angle, fault inception angle, fault resistance and fault location.In addition to series compensated transmission line protection studies, the book also includes fault analysis of high voltage transmission linewithout compensation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recently, series compensation is widely used in transmission. However, this creates several problems to conventional protection approaches.This book presents a comprehensive distance and overcurrent protection approach for series compensated transmission line using support vector machine (SVM).SVM is considered as a new powerful Artificial Intelligence (AI) technique. In a short period of time, SVM has been applied to numerous applications such as transformer faultdiagnosis, power system disturbances, relay coordination, transient stability of power system and fault classification of transmission line. This is due to the advantages of SVM over traditional approaches. The SVMs are trained with different kernel functions with different parameter values to get the most optimized model. Simulation studies have been considered for different operating conditions, including wide variations of load angle, fault inception angle, fault resistance and fault location.In addition to series compensated transmission line protection studies, the book also includes fault analysis of high voltage transmission linewithout compensation.