Detection of high impedance faul on power distribution system using probabilistic neural network
High impedance fault (HIF) is abnormal event currents on electric power distribution feeder which does not draw sufficient fault current to be detected by conventional protective devices. The waveforms of normal and HIF current signals on electric power distribution feeders are investigated and...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/15122/1/Detection%20of%20high%20impedance%20faul%20on%20power%20distribution%20system%20using%20probabilistic%20neural%20network190.pdf http://eprints.utem.edu.my/id/eprint/15122/ |
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| Summary: | High impedance fault (HIF) is abnormal event
currents on electric power distribution feeder which does
not draw sufficient fault current to be detected by
conventional protective devices. The waveforms of normal
and HIF current signals on electric power distribution
feeders are investigated and analysis the characteristic of
HIF. The purpose of this study is to use a new feature which
indicates HIF faults. Fast Fourier Transformation (FFT) is
used to extract the feature of the fault signal and other
power system events, odd harmonics frequency components
of the phase currents are analyzed. The effect of capacitor
banks and other events on distribution feeder harmonics is
discussed. The features extracted are using to train and test the probabilistic neural network (PNN) which is used as the classifier to detect HIF from other normal event in power distribution system. |
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