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

• Main Authors: Desta, Zahlay F., K.S., Ramarao, Taj, Mohammed Baloch
• Format: Conference or Workshop Item
• Published: 2008
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utp.edu.my/2636/1/AR_-_IEEE_EPEC_2008_-_Canada.pdf; http://eprints.utp.edu.my/2636/

Abstract – 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...