利用模拟退火算法对200MW供热堆堆芯核设计的优化

Loading pattern optimization for NHR 200 MW using simulated annealing

对200 MW核供热堆装载模式(燃料组件布置、可燃毒物棒根数和可燃毒物质量分数配置)进行了优化.利用模拟退火算法和先进格林函数节块法进行多步燃耗优化计算.引入敏感性系数,并通过敏感性分析的方法决定优化参数,因此在单目标和多目标优化时均取得了明显的效果.对组件布置和可燃毒物质量分数的优化计算结果表明,在不改变原有的富集度和组件类型的前提下,与参考值相比,优化后的循环长度、功率峰因子和卸料燃耗均有明显的改善.该燃料管理方法不仅可用于低温堆而且也可以推广到压水堆.

The optimum core loading patterns for the 200 MW Nuclear Heating Reactor were determined using the simulated annealing algorithm and the two dimensional (Neumann boundary condition) Nodal Green's function method to evaluate core reactivity and burnup for loading patterns. Sensitivity factors for the physical parameters were determined for an optimization algorithm with a multi objective function. The loading patterns were generated by perturbing the fuel assembly distribution, the burnable poison distribution and the mass of burnable poison. The result showed that an optimum distribution is possible without any change in the reference fuel assembly enrichment and fuel assembly types. Comparison of loading patterns for a given fuel inventory showed that the optimal solutions improved the maximum radial power peaking factor, increased the average regional discharge burnup, and increased the cycle length for the specific core.