熔盐球床堆堆芯燃料管理优化初步分析

Preliminary Analysis on In-core Fuel Management Optimization of Molten Salt Pebble-Bed Reactor

核热泉高温堆是具有满功率自然循环特性的熔盐球床堆,其特有的冷却剂横向流动特性需要基于径向分区换料的燃料循环方案,以及相应的燃料管理优化分析方法。局部搜索算法和模拟退火算法是普遍应用于轻水堆换料优化问题的随机性优化方法。本文应用这两种方法对核热泉高温堆的换料优化问题进行了分析。分析结果表明,相比于局部搜索算法,模拟退火算法能以较高的概率跳出局部最优陷阱,获得全局最优的优化结果,且优化质量独立于初始解的选取。最终的优化结果给出了较好的堆芯功率展平与压制燃料中心温度的效果。针对核热泉高温堆的一维分区换料方式,模拟退火算法是非常合适的优化分析方法。

The Nuclear Hot Spring（NHS） is a molten salt pebble-bed reactor featured by full power natural circulation.The unique horizontal coolant flow of the NHS demands the fuel recycling schemes based on radial zoning refueling and the corresponding method of fuel management optimization.The local searching algorithm（LSA） and the simulated annealing algorithm（SAA）,the stochastic optimization methods widely used in the refueling optimization problems in LWRs,were applied to the analysis of refueling optimization of the NHS.The analysis results indicate that,compared with the LSA,the SAA can survive the traps of local optimized solutions and reach the global optimized solution,and the quality of optimization of the SAA is independent of the choice of the initial solution.The optimization result gives excellent effects on the in-core power flattening and the suppression of fuel center temperature.For the one-dimensional zoning refueling schemes of the NHS,the SAA is an appropriate optimization method.