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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.
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