Programme

P.63 -- Poster, VCTP-45

Date: Wednesday, 14 October 2020

Time: 08:30 - 10:00

Online presentation

A discrete differential evolution for fuel loading optimization of the DNRR reactor and comparison with genetic algorithm

Giang T.T. Phan (1,2), Hoai-Nam Tran (1), Quang Huy Ngo (3), Quang Binh Do (3)

(1) Institute of Fundamental and Applied Sciences, Duy Tan University, HCMC (2) Faculty of Physics and Engineering Physics, VNUHCM-University of Science, HCMC (3) Ho Chi Minh City University of Technology and Education, Thu Duc, HCMC

Fuel loading pattern optimization is one of the complicated tasks of nuclear reactor core design in order to maximize fuel utilization while satisfying operation and safety constraints. In the present work, a discrete differential evolution (DE) method has been developed and applied to the problem of fuel loading pattern optimization of the Dalat Nuclear Research Reactor (DNRR). A classic strategy DE/rand/1/bin was chosen for the mutation operator of the DE method. Numerical applications were performed based on the core configuration of the DNRR consisting of 100 highly enriched uranium (HEU) fuel bundles with various burnup levels. Comparison of the performance between the DE method and a genetic algorithm (GA) was also carried out. The results show that DE is more advantageous in exploring search space and approaching a global optimum than GA. Further investigation on the application of advanced DE variants to the fuel loading optimization problem is being conducted in the future work.

Presenter: Phan Thi Thuy Giang

Presentation file: