Multi-parameter optimization of NPP simulation models using enhanced particle swarm method

IF 3.3 3区工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY

Progress in Nuclear Energy Pub Date : 2025-03-14 DOI:10.1016/j.pnucene.2025.105671

Zikang Li , Hang Wang , Li Fei , Minjun Peng , Zhang Xian , Gui Zhou

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Abstract

This paper delves into the optimization of simulation models for large-scale complex dynamic systems that couple multiple disciplines such as nuclear physics, heat transfer, and fluid mechanics, within the context of digital transformation in nuclear power. An enhanced particle swarm optimization (PSO) algorithm-based multi-parameter optimization method is proposed. This method integrates various strategies to improve the simulation accuracy of system-level models in replicating the operational characteristics of real systems. The effectiveness of this method is demonstrated through experiments on simulation models of the reactor coolant system and the chemical and volume control system within a full-range simulator. Post-optimization, the errors of key parameters are reduced to within 2%. This approach not only aids researchers in refining parameter design during the model development phase but also enables automatic parameter adjustments based on the actual system status after deployment. It meets the needs for online optimization and rapid tracking of actual system states in the application of nuclear power digital twin models.

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基于增强粒子群方法的核电厂仿真模型多参数优化

本文在核电数字化转型的背景下，深入探讨了大规模复杂动态系统仿真模型的优化问题，该系统融合了核物理、传热学和流体力学等多个学科。本文提出了一种基于粒子群优化（PSO）算法的增强型多参数优化方法。该方法整合了各种策略，以提高系统级模型在复制真实系统运行特性时的仿真精度。通过在全范围模拟器中对反应堆冷却剂系统和化学与容积控制系统的模拟模型进行实验，证明了该方法的有效性。优化后，关键参数的误差降低到 2% 以内。这种方法不仅能帮助研究人员在模型开发阶段完善参数设计，还能在部署后根据实际系统状态自动调整参数。它满足了核电数字孪生模型应用中在线优化和快速跟踪实际系统状态的需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Progress in Nuclear Energy 工程技术-核科学技术

CiteScore

5.30

自引率

14.80%

发文量

331

审稿时长

3.5 months

期刊介绍： Progress in Nuclear Energy is an international review journal covering all aspects of nuclear science and engineering. In keeping with the maturity of nuclear power, articles on safety, siting and environmental problems are encouraged, as are those associated with economics and fuel management. However, basic physics and engineering will remain an important aspect of the editorial policy. Articles published are either of a review nature or present new material in more depth. They are aimed at researchers and technically-oriented managers working in the nuclear energy field. Please note the following: 1) PNE seeks high quality research papers which are medium to long in length. Short research papers should be submitted to the journal Annals in Nuclear Energy. 2) PNE reserves the right to reject papers which are based solely on routine application of computer codes used to produce reactor designs or explain existing reactor phenomena. Such papers, although worthy, are best left as laboratory reports whereas Progress in Nuclear Energy seeks papers of originality, which are archival in nature, in the fields of mathematical and experimental nuclear technology, including fission, fusion (blanket physics, radiation damage), safety, materials aspects, economics, etc. 3) Review papers, which may occasionally be invited, are particularly sought by the journal in these fields.