摘要
核电站堆芯多循环换料设计最优化是燃料管理研究中的一个难点。通过变量代换将问题中的两种耦合关系分解开,使得该问题转化为一个含有复杂约束条件的非线性规划问题。开发了一种求解复杂约束非线性规划的新方法——概率逼近法(PAM),有效地求解了该问题。在一个实际核电站堆芯模型上的计算取得了满意的效果。
Multi-cycle refueling design optimization in nuclear plant is a complex problem in fuel management research. The two different kinds of combined relations in this problem are de-coupled by variable replacing, and the problem is changed into a non-linear programming problem with complex constraints. A new probability method-Probability Approaching Method is developed to solve this non-linear programming problem. The results on a real reactor core model show the benefit of multi-cycle optimization.
出处
《核科学与工程》
CSCD
北大核心
2007年第1期1-5,10,共6页
Nuclear Science and Engineering
关键词
换料设计
优化
多循环
概率逼近法
refueling design
optimization
multi-cycle
probability approaching method
