File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1049/cp:19971812
- Scopus: eid_2-s2.0-0031599266
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: The artificial neural networks based relay algorithm for distribution system high impedance fault detection
| Title | The artificial neural networks based relay algorithm for distribution system high impedance fault detection |
|---|---|
| Authors | |
| Issue Date | 1998 |
| Publisher | IEEE. |
| Citation | The 4th International Conference on Advances in Power System Control, Operation and Management, Hong Kong, China, 11-14 November 1997, v. 1, p. 100-106 How to Cite? |
| Abstract | The paper presents a practical artificial neural network (ANN) based relay algorithm for electric distribution high impedance fault detection. The scheme utilizes the characteristics of high impedance faults (HIFs) in the resulting waveforms of the three-phase residual current, voltage, admittance and power. By using Fourier analysis, their low order harmonic vectors were evaluated and then fed to a neural network. The network was based on either perceptron or feedforward algorithms. The trained network was verified using other distribution systems. |
| Persistent Identifier | http://hdl.handle.net/10722/46061 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Snider, LA | en_HK |
| dc.contributor.author | Yuen, YS | en_HK |
| dc.date.accessioned | 2007-10-30T06:41:42Z | - |
| dc.date.available | 2007-10-30T06:41:42Z | - |
| dc.date.issued | 1998 | en_HK |
| dc.identifier.citation | The 4th International Conference on Advances in Power System Control, Operation and Management, Hong Kong, China, 11-14 November 1997, v. 1, p. 100-106 | en_HK |
| dc.identifier.uri | http://hdl.handle.net/10722/46061 | - |
| dc.description.abstract | The paper presents a practical artificial neural network (ANN) based relay algorithm for electric distribution high impedance fault detection. The scheme utilizes the characteristics of high impedance faults (HIFs) in the resulting waveforms of the three-phase residual current, voltage, admittance and power. By using Fourier analysis, their low order harmonic vectors were evaluated and then fed to a neural network. The network was based on either perceptron or feedforward algorithms. The trained network was verified using other distribution systems. | en_HK |
| dc.format.extent | 552053 bytes | - |
| dc.format.extent | 2337 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | text/plain | - |
| dc.language | eng | en_HK |
| dc.publisher | IEEE. | en_HK |
| dc.rights | ©1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | en_HK |
| dc.title | The artificial neural networks based relay algorithm for distribution system high impedance fault detection | en_HK |
| dc.type | Conference_Paper | en_HK |
| dc.description.nature | published_or_final_version | en_HK |
| dc.identifier.doi | 10.1049/cp:19971812 | - |
| dc.identifier.scopus | eid_2-s2.0-0031599266 | - |
| dc.identifier.hkuros | 36705 | - |