Nuclear Engineering and Technology

  • 제55권2호
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  • Pages.452-459
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  • 2023
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  • 1738-5733(pISSN)
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  • 2234-358X(eISSN)
한국원자력학회 (Korean Nuclear Society)
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The optimization study of core power control based on meta-heuristic algorithm for China initiative accelerator driven subcritical system

  • Jin-Yang Li (School of Nuclear Science and Technology, Lanzhou University) ;
  • Jun-Liang Du (School of Nuclear Science and Technology, Lanzhou University) ;
  • Long Gu (School of Nuclear Science and Technology, Lanzhou University) ;
  • You-Peng Zhang (Institute of Modern Physics, Fudan University) ;
  • Cong Lin (School of Nuclear Science and Technology, Lanzhou University) ;
  • Yong-Quan Wang (School of Nuclear Science and Technology, Lanzhou University) ;
  • Xing-Chen Zhou (School of Nuclear Science and Technology, Lanzhou University) ;
  • Huan Lin (School of Nuclear Science and Technology, Lanzhou University)
  • 투고 : 2022.07.29
  • 심사 : 2022.10.05
  • 발행 : 2023.02.25
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초록

The core power control is an important issue for the study of dynamic characteristics in China initiative accelerator driven subcritical system (CiADS), which has direct impact on the control strategy and safety analysis process. The CiADS is an experimental facility that is only controlled by the proton beam intensity without considering the control rods in the current engineering design stage. In order to get the optimized operation scheme with the stable and reliable features, the variation of beam intensity using the continuous and periodic control approaches has been adopted, and the change of collimator and the adjusting of duty ratio have been proposed in the power control process. Considering the neutronics and the thermal-hydraulics characteristics in CiADS, the physical model for the core power control has been established by means of the point reactor kinetics method and the lumped parameter method. Moreover, the multi-inputs single-output (MISO) logical structure for the power control process has been constructed using proportional integral derivative (PID) controller, and the meta-heuristic algorithm has been employed to obtain the global optimized parameters for the stable running mode without producing large perturbations. Finally, the verification and validation of the control method have been tested based on the reference scenarios in considering the disturbances of spallation neutron source and inlet temperature respectively, where all the numerical results reveal that the optimization method has satisfactory performance in the CiADS core power control scenarios.

키워드

과제정보

This work is jointly supported by the funds of "Study on high performance MOC method for subcritical reactor coupled with external sources under hybrid heterogeneous architecture" (E131351S), "Optimization design of fuel management and refueling scheme based on accelerator driven subcritical system" (E023351Y), "Multi-physics coupling analysis for accelerator driven subcritical system" (12122512), and "Research on the scheme and key technology of the offshore fixed multipurpose small lead cooled reactor with full automatic circulation" (2020YFB1902100).

참고문헌

  1. F. Bianchi, C. Artioli, K.W. Burn, Status and trend of core design activities for heavy metal cooled accelerator driven system, Energy Convers. Manag. 47 (17) (2006) 2698-2709. https://doi.org/10.1016/j.enconman.2006.02.005
  2. J. Li, L. Gu, C. Yao, D. Wang, Neutronic study on a new concept of accelerator driven subcritical system in China, in: Proceedings of the 2018 26th International Conference on Nuclear Engineering, ASME, London, England, 2018, pp. 22-26. July.
  3. M. Eriksson, J.E. Cahalan, W.S. Yang, On the performance of point kinetics for the analysis of accelerator-driven systems, Nucl. Sci. Eng. 149 (3) (2005) 298-311. https://doi.org/10.13182/NSE03-103
  4. J.Y. Li, Y. Dai, L. Gu, Genetic algorithm based temperature control of the dense granular spallation target in China initiative accelerator driven system, Ann. Nucl. Energy 154 (2021) 108-127.
  5. T. Sugawara, K. Nishihara, K. Tsujimoto, Transient analyses for lead-bismuth cooled accelerator-driven system, Ann. Nucl. Energy 55 (2013) 238-247. https://doi.org/10.1016/j.anucene.2012.12.016
  6. M. Elsisi, M.A. Ebrahim, Optimal design of low computational burden model predictive control based on SSDA towards autonomous vehicle under vision dynamics, Int. J. Intell. Syst. 36 (11) (2021) 6968-6987. https://doi.org/10.1002/int.22576
  7. M. Elsisi, Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: Case study autonomous vehicle including vision system, Artif. Intell. Rev. (2022) 1-24.
  8. M. Elsisi, M.Q. Tran, H.M. Hasanien, Robust model predictive control paradigm for automatic voltage regulators against uncertainty based on optimization algorithms, Mathematics 9 (22) (2021) 2885.
  9. M. Elsisi, Optimal design of nonlinear model predictive controller based on new modified multitracker optimization algorithm, Int. J. Intell. Syst. 35 (11) (2020) 1857-1878. https://doi.org/10.1002/int.22275
  10. M.M. Ismail, A.F. Bendary, M. Elsisi, Optimal design of battery charge management controller for hybrid system PV/wind cell with storage battery, Int. J. Power Energy Convers. 11 (4) (2020) 412-429. https://doi.org/10.1504/IJPEC.2020.110018
  11. J.Y. Li, Z.Y. He, L. Gu, The temperature control of the dense granular spallation target in China initiative accelerator driven system based on quantum evolutionary algorithm, Prog. Nucl. Energy 131 (2021), 103587.
  12. W.M. Schikorr, Assessments of the kinetic and dynamic transient behavior of sub-critical systems (ADS) in comparison to critical reactor systems, Nucl. Eng. Des. 210 (1-3) (2001) 95-123. https://doi.org/10.1016/S0029-5493(01)00431-9
  13. P. Picca, R. Furfaro, B.D. Ganapol, A Hybrid Transport Point-Kinetic method for simulating source transients in subcritical systems, Ann. Nucl. Energy 38 (12) (2011) 2680-2688. https://doi.org/10.1016/j.anucene.2011.08.005
  14. A. Cammi, L. Luzzi, A.A. Porta, Modelling and control strategy of the Italian LBE-XADS, Prog. Nucl. Energy 48 (6) (2006) 578-589. https://doi.org/10.1016/j.pnucene.2006.03.006
  15. I.A. Kodeli, Beta-effective sensitivity and uncertainty analysis of MYRRHA reactor for possible use in nuclear data validation and improvement, Ann. Nucl. Energy 113 (2018) 425-435. https://doi.org/10.1016/j.anucene.2017.11.039
  16. C.H. Pyeon, M. Yamanaka, T. Endo, Experimental benchmarks on kinetic parameters in accelerator-driven system with 100 MeV protons at Kyoto University Critical Assembly, Ann. Nucl. Energy 105 (2017) 346-354. https://doi.org/10.1016/j.anucene.2017.03.030
  17. S. Henderson, W. Abraham, A. Aleksandrov, The spallation neutron source accelerator system design, Nucl. Instrum. Methods Phys. Res. Sect. A Accel. Spectrom. Detect. Assoc. Equip. 763 (2014) 610-673. https://doi.org/10.1016/j.nima.2014.03.067
  18. Y. Kondo, K. Hasegawa, T. Morishita, Beam dynamics design of a new radio frequency quadrupole for beam-current upgrade of the Japan Proton Accelerator Research Complex linac, Phys. Rev. Spec. Top. Accel. Beams 15 (8) (2012), 080101.
  19. H. Rief, H. Takahashi, Safety and control of accelerator-driven subcritical systems, AIP Conf. Proc. Am. Inst. Phys. 346 (1) (1995) 159-166.
  20. M. Elsisi, H. Abdelfattah, New design of variable structure control based on lightning search algorithm for nuclear reactor power system considering load-following operation, Nucl. Eng. Technol. 52 (3) (2020) 544-551. https://doi.org/10.1016/j.net.2019.08.003
  21. A. O'dwyer, Handbook of PI and PID Controller Tuning Rules, World Scientific, 2009.
  22. J.G. Juang, M.T. Huang, W.K. Liu, PID control using presearched genetic algorithms for a MIMO system, IEEE Trans. Syst. Man Cybern. C Appl. Rev. 38 (5) (2008) 716-727. https://doi.org/10.1109/TSMCC.2008.923890
  23. M. Elsisi, Optimal design of non-fragile PID controller, Asian J. Control 23 (2) (2021) 729-738. https://doi.org/10.1002/asjc.2248
  24. M. Elsisi, M. Soliman, M.A.S. Aboelela, ABC based design of PID controller for two area load frequency control with nonlinearities, TELKOMNIKA Indones. J. Electr. Eng. 16 (1) (2015) 58-64. https://doi.org/10.11591/tijee.v16i1.1588
  25. Y. Mitsukura, T. Yamamoto, M. Kaneda, A genetic tuning algorithm of PID parameters, in: IEEE International Conference on Systems, Man, and Cybernetics, Computational Cybernetics and Simulation vol. 1, IEEE, 1997, pp. 923-928.