OPTIMAL RELAY PERFORMANCE USING ADVANCED FAULT DIAGNOSTIC TECHNIQUES
| dc.contributor.author | Akinbulire, T.O | |
| dc.contributor.author | Oluseyi, P.O | |
| dc.contributor.author | Esumeh, C.I | |
| dc.date.accessioned | 2020-07-02T15:33:10Z | |
| dc.date.available | 2020-07-02T15:33:10Z | |
| dc.date.issued | 2008-03 | |
| dc.description.abstract | This paper describes application of Artificial Intelligence (AI) methods in the diagnostic operation of the protective relays in power system with a particular emphasis on neuro-fuzzy method, as a viable enhancement to the existing classical protection technique in use on the Nigeria’s national grid. The proposed method is simulated to showcase its advantages over the existing methods. It will not replace the latter but rather serves as a means of improving its reliability as a protection scheme. | en_US |
| dc.identifier.uri | https://ir.unilag.edu.ng/handle/123456789/8487 | |
| dc.language.iso | en | en_US |
| dc.publisher | European Association for the Development of Renewable Energies, Environment and Power Quality | en_US |
| dc.subject | relay,neuro-fuzzy,fault, protection | en_US |
| dc.title | OPTIMAL RELAY PERFORMANCE USING ADVANCED FAULT DIAGNOSTIC TECHNIQUES | en_US |
| dc.title.alternative | Renewable Energy & Power Quality Journal, Vol. 1, No.6, March 2008 | en_US |
| dc.type | Article | en_US |