Integrative two-stage optimization for core design of BWR using genetic algorithms

Y. Kobayashi, E. Aiyoshi

研究成果: Paper査読

抄録

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.

本文言語English
ページ109-114
ページ数6
出版ステータスPublished - 2003 12 1
イベントProceedings of 2003 IEEE Conference on Control Applications - Istanbul, Turkey
継続期間: 2003 6 232003 6 25

Other

OtherProceedings of 2003 IEEE Conference on Control Applications
国/地域Turkey
CityIstanbul
Period03/6/2303/6/25

ASJC Scopus subject areas

  • 制御およびシステム工学

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