Autoreclosure in extra high voltage lines using taguchi's method and optimized neural networks
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...
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Main Authors: | , |
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Format: | Conference or Workshop Item |
Published: |
2008
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Subjects: | |
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/ |
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Institution: | Universiti Teknologi Petronas |
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