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| Titre: | System reliability and cost optimization under various scenarios using NSGA-III |
| Auteur(s): | Chebouba, Billal Nazim
Mellal, Mohamed Arezki
Adjerid, Smail
Benazzouz, Djamel |
| Mots-clés: | Power plant system
System reliability
System cost
Multi-objective optimization
NSGA-III |
| Date de publication: | 2020 |
| Editeur: | IEEE |
| Collection/Numéro: | 2020 International Conference on Electrical Engineering (ICEE);pp. 1-6 |
| Résumé: | Nowadays, industrial systems need to be as
reliable as possible in order to ensure safety and
competitiveness. This paper addresses the reliabilityredundancy allocation problem (RRAP) of an overspeed
protection system in a power plant under various scenarios.
Previously, this kind of optimization problems were solved
using mathematical programming techniques and considered
as a single objective optimization problem, however more
recently, bio-inspired algorithms are used to solve this type of
optimization problem. In the present work, a multi-objective
evolutionary optimization algorithm, called the non-dominated
sorting genetic algorithm (NSGA-III) is implemented to solve
the problem under a set of nonlinear design constraints. The
NSGA-III demonstrates its ability to generate a set of nondominated solutions. The results are discussed under various
scenarios of minimum allowable reliability |
| URI/URL: | https://ieeexplore.ieee.org/abstract/document/9249929
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6526 |
| Collection(s) : | Communications Internationales
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