Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system

doi:10.1016/j.anucene.2021.108678

	Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system
	Li, Jin-Yang 1,2,3; Guo, Sheng-Miao 1,3; Gu, Long 1,3,5; Zhang, You-Peng 4; Xu, Hu-Shan 1,2,3; Su, Xin-Kang 1,3; Wang, Yong-Quan 4
刊名	ANNALS OF NUCLEAR ENERGY
	2022-02-01
卷号	166 页码:9
关键词	Power control strategy Quantum evolutionary algorithm Optimization method Accelerator driven system PID controller
ISSN号	0306-4549
DOI	10.1016/j.anucene.2021.108678
通讯作者	Gu, Long(gulong@impcas.ac.cn)
英文摘要	The power optimization control strategy for China initiative Accelerator Driven subcritical System (CiADS), which focuses on the study of dynamic features and the stable operation of coupling nuclear system, is one of the most important research topics for the current engineering stage that is expected to be completed in the year 2025. However, the traditional way in handling the power control problem was carried out by specialists with transcendental knowledge and experiences, which has been believed as the high labor intensity and the brute force trial-and-error process. In this context, the Quantum Evolutionary Algorithm (QEA) has been employed to deal with the CiADS power optimization control strategy in order to fulfill the adaptive searching procedure continuously and automatically. The manipulation of proton beam intensity has been used as the main control approach, and the physical model in describing the dynamic characteristics of power control system has been constructed in coupling the lumped parameter method and the point reactor kinetics method. In addition, the logical structure of Proportional Integral Derivative (PID) controller has been established for the power control process, and the QEA has been adopted to obtain the suitable set of parameters in the PID controller. Finally, the performance of the optimization method has been verified in the predefined control scenarios, and all the numerical results show that the control method has the applicability and feasibility in solving the CiADS power control problems. (c) 2021 Elsevier Ltd. All rights reserved.
资助项目	Optimization design of fuel management and refueling scheme based on accelerator driven subcritical system[E023351Y] ; The main equipment, key materials, technology research, development and application of the fourth generation lead based fast reactor[Y9391601] ; Research on the scheme and key technology of the offshore fixed multipurpose small lead cooled reactor with full automatic circulation[2020YFB1902100]
WOS关键词	POINT KINETICS ; PID-CONTROLLER ; PERFORMANCE ; TRANSIENTS ; REACTOR ; ADS
WOS研究方向	Nuclear Science & Technology
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000709517500002
资助机构	Optimization design of fuel management and refueling scheme based on accelerator driven subcritical system ; The main equipment, key materials, technology research, development and application of the fourth generation lead based fast reactor ; Research on the scheme and key technology of the offshore fixed multipurpose small lead cooled reactor with full automatic circulation
内容类型	期刊论文
源URL	[http://119.78.100.186/handle/113462/136029]
专题	中国科学院近代物理研究所
通讯作者	Gu, Long
作者单位	1.Univ Chinese Acad Sci, Sch Nucl Sci & Technol, Beijing 100049, Peoples R China 2.Adv Energy Sci & Technol Guangdong Lab, Huizhou 516002, Peoples R China 3.Chinese Acad Sci, Inst Modern Phys, Lanzhou 730000, Peoples R China 4.Fudan Univ, Inst Modern Phys, Shanghai 200433, Peoples R China 5.Lanzhou Univ, Sch Nucl Sci & Technol, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Li, Jin-Yang,Guo, Sheng-Miao,Gu, Long,et al. Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system[J]. ANNALS OF NUCLEAR ENERGY,2022,166:9.
APA	Li, Jin-Yang.,Guo, Sheng-Miao.,Gu, Long.,Zhang, You-Peng.,Xu, Hu-Shan.,...&Wang, Yong-Quan.(2022).Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system.ANNALS OF NUCLEAR ENERGY,166,9.
MLA	Li, Jin-Yang,et al."Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system".ANNALS OF NUCLEAR ENERGY 166(2022):9.