Large-Scale Application of the Constraint Annealing Method for Pressurized Water Reactor Core Design Optimization
Large-Scale Application of the Constraint Annealing Method for Pressurized Water Reactor Core Design Optimization
复制标题
约束退火方法在压水堆堆芯设计优化中的大规模应用
DOI：
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发表时间：
2019
影响因子：
1.2
通讯作者：
Ryan Walden
中科院分区：
文献类型：
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作者：
D. Kropaczek;Ryan Walden
摘要针对轻水堆燃料循环优化中大规模、多约束问题，提出并论证了约束退火方法。约束退火是一种无惩罚的方法，它将每个目标函数和约束作为全局优化搜索框架中独立且并发解决的最小化问题，从而消除了传统约束加权因子的需要。当前的应用程序旨在证明约束退火对包含多个目标函数和约束的复杂堆芯加载模式设计问题的有效性，而不需要额外的特别控制参数。分析了两个不同复杂程度的问题。第一个问题定义为基于循环能量最大化的单目标函数，具有基于功率峰值和峰值棒暴露的两个约束。第二个问题在第一个问题的基础上进行了扩展，增加了一个额外的目标函数，用于容器流量和基于受控功率峰值、蒸汽率、慢化剂温度系数和备用源项的四个额外约束。结果表明，约束退火固有地解决了与不同目标函数和约束公式相关的标度问题以及对循环能量的影响。
Abstract The constraint annealing method is presented and demonstrated for the solution of large-scale, multiconstrained problems in light water reactor fuel cycle optimization. Constraint annealing is a penalty-free method that eliminates the need for traditional constraint weighting factors by treating each objective function and constraint as separate and concurrently solved minimization problems within a global optimization search framework. The current application seeks to demonstrate the effectiveness of constraint annealing for a complex core loading pattern design problem containing multiple objective functions and constraints without the need for additional ad hoc control parameters. Two problems of varying degrees of complexity are analyzed. The first problem is defined by a single objective function based on maximizing cycle energy with two constraints based on power peaking and peak rod exposure. The second problem expands upon the first by adding an additional objective function for vessel fluence and four additional constraints based on controlled power peaking, steaming rate, moderator temperature coefficient, and alternate source term. Results demonstrate that constraint annealing inherently addresses issues of scaling associated with different objective function and constraint formulations as well as the impact on cycle energy.