基于混合自适应遗传退火算法的AHTR堆芯优化研究

Optimization of Core of Advanced High-Temperature Reactor Based on Hybrid Adaptive Genetic Annealing Algorithm

板状先进高温堆(AHTR)的预设计采用均一富集度的燃料组件,导致功率峰因子(PPF)过大,总PPF高达2.09,一定程度制约了反应堆的安全性与经济性。文章采用富集度分区法对其进行改进优化,为了加快堆芯燃料最优化布置的搜索速度,设计了一种自适应的混合智能算法,该算法整个优化过程均基于一个用MATLAB语言编辑的程序自动完成,优化后的径向功率峰因子降低至1.122,相比原设计降低25.02%。温度场模拟结果表明,优化方案温度分布更均匀,峰值温度从1030 K降低至1010 K,有效地提高了堆芯的安全裕量。

The predesigned Plate-type Advanced High Temperature Reactor(AHTR)used the uniform enrichment fuel assemblies,which resulted in the high power peak factor with its total power peak factor of 2.09.Thus,the safety and economy of the reactor are restricted to a certain extent.In this paper,different enrichment fuel assemblies were used to flatten the power.In order to speed up the search of the optimal loading pattern of the reactor core,an adaptive intelligent algorithm was adopted.The whole optimization process were completed by an automatically program written by MATLAB.The optimized power peak factor is reduced to 1.122,which is reduced by 25.02% compared with the original design.Simulation results of the temperature field show that the temperature distribution of the optimized reactor is more uniform.The maximum temperature is decreased from 1030K to 1010K,which greatly increases the temperature margin of the core.