摘要
建立了压水堆堆芯燃料组件布置和可燃毒物配置优化的数学模型,采用基于位置的遗传操作算子,完成遗传算法程序编制,并和先进Green函数节块法程序(NNGFM)构成一个完整的堆芯燃料管理程序。分别以循环长度、功率峰因子和卸料燃耗为目标函数,应用遗传算法对大亚湾核电站首炉装载进行优化。结果表明,在不改变原有的富集度和随机初值情况下,与参考方案相比,各个优化方案都有明显的改善。满功率运行循环长度最大化能延长8d左右,卸料燃耗最大化的出炉燃耗加深0.640GWd.t-1左右,功率峰因子最小化使得功率峰因子从参考值的1.250降低到1.236。
A genetic algorithm (GA) model was developed to optimize fuel assembly loading patterns (LP) and burnable poison management. The genetic algorithm was integrated with the advanced Nodal Green's Function Method on the Neumann boundary condition code (NNGFM) to form an incore fuel management to optimize fuel arrangements. The code was employed to optimize the cycle length, the peak power factor and the discharge burnup of the first cycle loading for the Daya Bay Nuclear Plant. The results show that better solutions are acquired with random initial values without changing the designed fuel enrichment. For example, comparing to the reference LP, the effective full power cycle length maximization increased the length by about 8 days, the discharge burnup optimization increased the discharge burnup by 0.640 GWd·t-1, the power factor minimization decreased the power peak from 1.250 to 1.236.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2002年第12期1624-1627,共4页
Journal of Tsinghua University(Science and Technology)
