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| Titre: | Artificial neuron network based faults detection and localization in the high voltage transmission lines with MHO distance relay |
| Auteur(s): | B.M, Said
K.D., Eddine
C., Salim |
| Mots-clés: | Artificial neural network
Diagnosis
Fault detection and localization
High voltage transmission |
| Date de publication: | 2020 |
| Editeur: | International Information and Engineering Technology Association |
| Collection/Numéro: | Journal Europeen des Systemes Automatises Volume 53, Issue 1, 1 February 2020;PP. 137-147 |
| Résumé: | This study offers the opportunity to extend the functioning of the most advanced protection systems. The faults which can arise on the power transmission lines are numerous and varied: Short-circuit; Overvoltage; Overloads, etc. In the context of short circuits, the conventional sensor as the Mho distance relay also known as the admittance relay is generally used. This relay will be discussed later in this study. By taking into account the preventive risks of the Mho relay and discover the new techniques of artificial intelligence, namely the neural network which can contribute to the precise and rapid detection of all types of short-circuit faults. The results of the simulation tests demonstrate the effectiveness of the methods proposed for the automatic diagnosis of faults |
| URI/URL: | https://www.scopus.com/record/display.uri?eid=2-s2.0-85084937051&origin=SingleRecordEmailAlert&dgcid=raven_sc_affil_en_us_email&txGid=306b0d8f263e7e0de90b00aa034e6447
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6139 |
| ISSN: | 12696935 |
| Collection(s) : | Publications Internationales
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