应用改进遗传规划方法的快堆功率控制策略

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.

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

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.