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Optimization of the worth shape of axially variable strength control rods with simulation optimization methodology for the power maneuvering of pressurized water reactors

机译:利用压水堆动力操纵的仿真优化方法优化轴向可变强度控制棒的形状

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摘要

In this research, the optimization of the worth shape of axially variable strength control rods (AVSCRs) is performed to provide optimal performance to the AVSCRs for the power maneuvering of PWRs. The optimization objective is minimizing axial offset (AO) violation of target boundaries during the power maneuvering, and the objective functions for the optimization are relationships between AO variation and axial worth shape of the AVSCRs. However, in this case, an analytic objective function does not exist, and the response for input can only be evaluated by computer simulation. Therefore, a simulation optimization methodology is used. The response surface methodology (RSM) is adopted and objective functions are evaluated with a typical 100-50-100%, 2-6-2-14 h pattern of daily load-follow power maneuvering using reactor simulation code. The optimization result shows that the optimized AVSCRs have good performance on the AO control. The violation of the AO target boundary during the power maneuvering is minimized, and consequently the AO is regulated well within the AO target band during the power maneuvering.
机译:在这项研究中,对轴向可变强度控制棒(AVSCR)的合理形状进行了优化,以为AVSCR提供最佳性能,以进行PWR的动力操纵。优化目标是在动力操纵过程中最小化轴向偏移(AO)对目标边界的违反,并且优化的目标函数是AO变化与AVSCR轴向尺寸形状之间的关系。但是,在这种情况下,不存在分析目标函数,并且只能通过计算机仿真来评估输入的响应。因此,使用了仿真优化方法。采用了响应面方法(RSM),并使用反应堆仿真代码以每日负荷跟随功率操纵的典型100-50-100%,2-6-2-14 h模式对目标函数进行了评估。优化结果表明,优化后的AVSCR具有良好的AO控制性能。在功率操纵过程中对AO目标边界的违反被最小化,因此,在功率操纵过程中AO在AO目标频带内得到了很好的调节。

著录项

  • 来源
    《Nuclear Engineering and Design》 |2003年第1期|p.27-35|共9页
  • 作者

    Ung-Soo Kim; Poong-Hyun Seong;

  • 作者单位

    Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, 373-1, Guseong-Dong, Yuseong-Gu, Daejeon 305-701, South Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 原子能技术;
  • 关键词

  • 入库时间 2022-08-18 00:49:04

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