Autoreclosure in Extra High Voltage Lines using Taguchi’s Method and Optimized Neural Networks
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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/2636/ http://scholars.utp.edu.my/id/eprint/2636/1/AR_-_IEEE_EPEC_2008_-_Canada.pdf |