Title :
Renewable-energy based generation network stability and protection
Author_Institution :
Department of Electronic & Electrical Engineering, University of Bath, BA2 7AY UK
Abstract :
The supervised SOM neural network employing augmented features based on power spectral density, as extracted from experimental PD data emanating from a GIS, gives a very satisfactory identification rate for the substation defective equipments
Conference_Titel :
Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007. ICTES. IET-UK International Conference on
Conference_Location :
Chennai, Tamilnadu, India
