Article Sidebar

PDF
Published: 2023-11-24
Abstract Views: 101
Views PDF: 57
DOI: https://doi.org/10.53747/nst.v12i2.337
Issue
Vol. 12 No. 2 (2022)
Section
Articles
How to Cite
Phan, G., Tran, H. N., & Do, Q. B. (2023). Improved Genetic algorithm for fuel loading optimization of the DNRR with HEU fuel. Nuclear Science and Technology, 12(2), 1-11. https://doi.org/10.53747/nst.v12i2.337

Improved Genetic algorithm for fuel loading optimization of the DNRR with HEU fuel

Giang Phan1, Tran Hoai Nam2, Do Quang Binh3
1 s:66:"1Institute of Fundamental and Applied Sciences, Duy Tan University";
2 Faculty of Fundamental Sciences, PHENIKAA University
3 Institute of Environment-Energy Technology, Sai Gon University

Main Article Content

Abstract

This paper investigates the performance of genetic algorithm (GA) with improved selection techniques, i.e. Tournament and Roulette Wheel, applied to in-core fuel management of the Dalat nuclear research reactor (DNRR). Numerical calculations have been performed based on the DNRR core with 100 HEU fuel bundles. The optimal fitness function was chosen to maximize the keff and minimize the power peaking factor. The statistical analysis using Mann-Whitney test shows that the performance of GA with Tournament selection is advantageous over the Roulette Wheel selection in the ICFM problem of the DNRR. The optimal core configurations obtained with the improved GA methods have the keff values greater by about 500 pcm, and the PPF lower by about 4.0% compared to the reference core.

Article Details

Author Biography

Tran Hoai Nam, Faculty of Fundamental Sciences, PHENIKAA University

Hanoi 12116, Vietnam

Keywords

Genetic algorithm, Tournament, Roulette Wheel, fuel reloading optimization, DNRR

References

[1]. Tran, V.-P., Phan, G. T. T., Hoang, V.-K., Ha, P. N. V., Yamamoto, A., and Tran, H.-N. Evolutionary simulated annealing for fuel loading optimization of VVER-1000 reactor, Ann. Nucl. Energy 151, 107938, (2021).
[2]. Binh, D. Q., Huy, N. Q., and Hai, N. H. A binary mixed integer coded genetic algorithm for multi-objective optimization of nuclear research reactor fuel reloading, Kerntechnik Vol. 79(12), 511-517, (2014).
[3]. Zameer, A., Mirza, S.M. and Mirza, N.M. Core loading pattern optimization of a typical two-loop 300 MWe PWR using simulated annealing (SA), novel crossover genetic algorithms (GA) and hybrid GA(SA) schemes. Ann. Nucl. Energy 65, 122–131, (2014).
[4]. Zameer, A., Muneeb, M., Mirza, S.M. and Raja, M.A.Z. Fractional-order particle swarm based multi-objective PWR core loading pattern optimization. Ann. Nucl. Energy 135, 106982, (2020).
[5]. Phan, G. T. T., Do, Q. B., Ngo, Q. H., Tran, T. A. and Tran, H.-N. Application of differential evolution algorithm for fuel loading optimization of the DNRR research reactor, Nucl. Eng. Des. 362, 110582, (2020).
[6]. J. Holland, Adaptation in Natural and Artificial Systems, The University of Michigan Press, Ann Arbor, Michigan, (1975).
[7]. Ephraim Nissan. Review: An Overview of AI Methods for in-Core Fuel Management: Tools for the Automatic Design of Nuclear Reactor Core Configurations for Fuel Reload, (Re)arranging New and Partly Spent Fuel, Designs 2019, 3, 37, (2019).
[8]. A. Shukla, H. M. Pandey and D. Mehrotra. Comparative review of selection techniques in genetic algorithm, 2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 515-519, (2015).
[9]. Pandey, Hari. Performance Evaluation of Selection Methods of Genetic Algorithm and Network Security Concerns. Procedia Computer Science 78, 13 – 18, ( 2016 ).
[10]. Tran,T.-S. and Kieu, T.-T.-H. Choice of Selection Methods in Genetic Algorithms for Power System State Estimation. In: Advances in Engineering Research and Application. ICERA 2020. Lecture Notes in Networks and Systems, vol 178, 223-231, (2020).
[11]. Goldberg, D. E. and Deb, K. A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. Foundations of Genetic Algorithms, 69–93, (1991).
[12]. A. Shukla, H. M. Pandey and D. Mehrotra, Comparative review of selection techniques in genetic algorithm, 2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE) 515-519, (2015).
[13]. Nguyen Nhi Dien (Ed). Safety analysis report for the Dalat nuclear research reactor, tech. rep., Nuclear Research Institute, Vietnam Atomic Energy Institute, (2009).
[14]. Fowler, T., Vondy, D. and Cunningham, G. Nuclear reactor core analysis code: CITATION. Technical Report (1971).
[15]. AEA Technology. WIMSD - a neutronics code for standard lattice physics analysis. ANSWERS Software Service (1997).
[16]. Rani, S., Suri, B. and Goyal, R. On the Effectiveness of Using Elitist Genetic Algorithm in Mutation Testing. Symmetry 2019, 11, 1145, (2019).