应用改进遗传规划方法的快堆功率控制策略  

Fast Breeder Reactor Power Manipulation Strategy Based on Advanced Genetic Programming Approach

作　　者：方涛[1] 陆道纲[1] 段天英[2] 

机构地区：[1]华北电力大学核科学与工程学院,北京102206 [2]中国原子能科学研究院中国实验快堆工程部,北京102413

出　　处：《天津大学学报》2012年第12期1105-1109,共5页Journal of Tianjin University(Science and Technology)

基　　金：日本原子力安全协会资助计划NREP(nuclear researchers exchange program)资助项目(FY2010)

摘　　要：由于快中子增殖反应堆的功率变化与反应性变化会相互影响,因此很难找到一个有明确物理含义的数学模型;而且其衰变功率在非稳态运行条件下,极易引起反应堆功率控制的过冲现象.针对快堆功率控制的这些特点,把改进后的遗传规划方法与反应堆动态周期方程相结合,得到了一个反应性控制的预测模型,同时对该模型进行了仿真验证.验证结果表明,该反应性预测模型的预测值与实测值吻合很好,总反应性的相对误差率甚至不超过1%,从而可以看出在整个控制过程中没有明显的过冲现象出现,模型性能良好.It is difficult to find an unambiguous physical meaning model for fast breeder reactor （FBR）, because the interaction between the power variation and the reactivity change is very complex. And under the non-steady condition of decay power, it is easy to appear the over-shooting situation in reactor power manipulation （RPM）. According to these RPM characteristics the advanced genetic programming approach （GPA） and dynamic period equa- tion （DPE） were combined, then a predictive reactivity regulation model was obtained. At last, the model was veri-fied through simulation. The results show that the predictive values and measured values are much closed, and the relative error rates of total relativity are all not more than 1%. During the whole RPM, it is obvious that the over- shooting does not appear. So the model has good performance.

关 键 词：快中子增殖反应堆 反应堆功率控制 反应性过冲 遗传规划方法 动态周期方程 

分 类 号：TL361[核科学技术—核技术及应用]