Abstract
Boiling water reactors (BWRs) represent a large fraction of the world's installed nuclear power capacity. The core model of a BWR is very complex because it has many fuel assemblies and strong axial heterogeneities such as coolant voiding, partial control rod insertion, and non-uniform fuel assembly design. The core design of BWR is a hard optimization problem with a nonlinear objective function and nonlinear constraints. In this paper, we propose an integrative two-stage optimization method of dynamic stage and static stage based on Genetic Algorithm (GA). This algorithm provides both good convergence performance and global searching ability. Therefore, this optimization system realized the practical application for the real BWR core design. Through calculation in an actual plant, it was confirmed that the optimization could be realized within a reasonable computation time. This two-stage optimization algorithm made the automation of core design tasks possible.
| Original language | English |
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| Pages | 109-114 |
| Number of pages | 6 |
| Publication status | Published - 2003 Dec 1 |
| Event | Proceedings of 2003 IEEE Conference on Control Applications - Istanbul, Turkey Duration: 2003 Jun 23 → 2003 Jun 25 |
Other
| Other | Proceedings of 2003 IEEE Conference on Control Applications |
|---|---|
| Country | Turkey |
| City | Istanbul |
| Period | 03/6/23 → 03/6/25 |
Keywords
- BWR
- Combinatorial optimization
- Genetic algorithm
- Reload core design
- Two-stage optimization
ASJC Scopus subject areas
- Control and Systems Engineering