Adnan, Tawafan and Marizan, Sulaiman and Zulkifilie, Ibrahim (2012) Detection of high impedance faul on power distribution system using probabilistic neural network. In: 3rd International Conference on Engineering and ICT (ICEI2012) , 4 – 6 April 2012, Melaka, Malaysia . (Submitted)
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Detection of high impedance faul on power distribution system using probabilistic neural network190.pdf Download (545kB) |
Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | high impedance faults, FFT, power system, probabilistic neural network |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Electrical Engineering |
| Depositing User: | Noor Rahman Jamiah Jalil |
| Date Deposited: | 27 Oct 2015 01:05 |
| Last Modified: | 27 Oct 2015 01:05 |
| URI: | http://eprints.utem.edu.my/id/eprint/15122 |
| Statistic Details: | View Download Statistic |
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