Autoreclosure in extra high voltage lines using taguchi's method and optimized neural networks

• Main Authors: K.S.R, Rao, F. D., Zahlay
• Format: Conference or Workshop Item
• Published: 2008
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utp.edu.my/275/1/paper.pdf; http://www.scopus.com/inward/record.url?eid=2-s2.0-63049089484&partnerID=40&md5=afc755f7916d29adf47db5dbf7ed6912; http://eprints.utp.edu.my/275/
• Institution: Universiti Teknologi Petronas

This paper presents a method to discriminate the temporary faults from the permanent ones in an extra high voltage (EHV) transmission line so that improper reclosing of the line onto a fault is avoided. The fault identification prior to reclosing is based on optimized artificial neural network assoc...