Optimization of boiling water reactor loading pattern using an improved genetic algorithm

Yoko Kobayashi, Eitaro Aiyoshi

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

When a nuclear power reactor is shut down between successive operation cycles, refueling or reloading is needed. Devising a good refueling or reloading pattern is called "loading pattern optimization." It is a large, combinatorial optimization problem with a nonlinear objective function and nonlinear constraints. Algorithm based on a genetic algorithm (GA) was developed to generate optimized boiling water reactor (BWR) reloading patterns. The proposed algorithms are demonstrated in an actual BWR plant. In test calculations, candidates that shuffled fresh and burned fuel assemblies within a reasonable computation time were obtained.

Original languageEnglish
Pages383-390
Number of pages8
Publication statusPublished - 2001 Dec 1
EventProceedings of the 2001 IEEE International Symposium on Intelligent Control ISIC '01 - Mexico City, Mexico
Duration: 2001 Sep 52001 Sep 7

Other

OtherProceedings of the 2001 IEEE International Symposium on Intelligent Control ISIC '01
CountryMexico
CityMexico City
Period01/9/501/9/7

Keywords

  • BWR
  • Combinatorial problem
  • GA
  • Loading Pattern

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Kobayashi, Y., & Aiyoshi, E. (2001). Optimization of boiling water reactor loading pattern using an improved genetic algorithm. 383-390. Paper presented at Proceedings of the 2001 IEEE International Symposium on Intelligent Control ISIC '01, Mexico City, Mexico.