Artificial Neural Network Fault Detection for Transmission Line Protection. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 10, Volume 29, Issue 3, September 2004, Page 15-18 PDF (88.91 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2021.140365 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| S. M. El Safty* ; H. El Dessouki; M. El Sawaf | ||||
| College of Engineering Arab Academy for Science and Technology | ||||
| Abstract | ||||
| The artificial neural network is a powerful tool for the detection of the transmission line faults due to its ability to differentiate between various patterns. In this paper, simulation of power system under normal and faulty conditions are carried out using electromagnetic transient program. The voltage and current waveforms at the relay location for normal and fault conditions are extracted. The waveforms obtained are preprocessed in order to improve the performance of the neural network used. Three neural networks are built one for fault detection, one for fault type and a third for fault location. The proposed technique is tested with different types of faults and successive decision was reached. | ||||
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