Autoreclosure in Extra High Voltage Lines using Taguchi's Method and Optimized Neural Networks

• Main Authors: Desta, Zahlay F., K.S., Rama Rao
• Format: Conference or Workshop Item
• Published: 2009
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utp.edu.my/2640/1/AR_-_IEEE_ICCET2009_-_-.pdf; http://eprints.utp.edu.my/2640/
• Institution: Universiti Teknologi Petronas

Abstract— This paper presents a method to discriminate a temporary fault from a permanent one 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...