Autoreclosure in Extra High Voltage Lines using Taguchi's Method and Optimized Neural Networks
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...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/2640/1/AR_-_IEEE_ICCET2009_-_-.pdf http://eprints.utp.edu.my/2640/ |
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