Improvement of the accuracy of a 3-dimensional simulator of a BWR using a neural network

Y. Kobayashi, E. Aiyoshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. In order to operate a BWR safely, it is necessary to supervise the performance of the reactor core during the operation cycle. Therefore, the operation of the reactor core in a BWR is supervised using a 3-dimensional on-line simulator. In order to raise the calculation accuracy of this 3-dimensional simulator, the calculation power distribution is corrected using the neutron flux distribution obtained by the in-core instrumentation. In this paper, a model that uses a neural network was developed in order to raise the calculation accuracy of this 3-dimensional simulator further. In order to apply a neural network to the complicated reactor core of a BWR, the learning algorithm needs to be improved. Therefore, a technique using the Quasi-Newton method for renewal of the connection weights of the Back-Propagation (BP) method was developed. Using this algorithm, the convergent ability of neural network learning was improved in the strongly nonlinear problems. When this algorithm was applied to a BWR, the calculation accuracy of a 3-dimensional simulator was improved considerably.

Original languageEnglish
Title of host publicationIEEE International Symposium on Industrial Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages294-298
Number of pages5
Volume1
ISBN (Print)0780373693, 9780780373693
Publication statusPublished - 2002
Event2002 IEEE International Symposium on Industrial Electronics, ISIE 2002 - L'Aquila, Italy
Duration: 2002 Jul 82002 Jul 11

Other

Other2002 IEEE International Symposium on Industrial Electronics, ISIE 2002
CountryItaly
CityL'Aquila
Period02/7/802/7/11

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Cite this

Kobayashi, Y., & Aiyoshi, E. (2002). Improvement of the accuracy of a 3-dimensional simulator of a BWR using a neural network. In IEEE International Symposium on Industrial Electronics (Vol. 1, pp. 294-298). [1026081] Institute of Electrical and Electronics Engineers Inc..