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压水堆多循环换料设计优化方法研究
Algorithm research on PWR multi-cycle refueling design optimization
【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。
【Abstract】 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.
【关键词】 换料设计;
优化;
多循环;
概率逼近法;
【Key words】 refueling design; optimization; multi-cycle; probability approaching method;
【Key words】 refueling design; optimization; multi-cycle; probability approaching method;
- 【文献出处】 核科学与工程 ,Chinese Journal of Nuclear Science and Engineering , 编辑部邮箱 ,2007年01期
- 【分类号】TL421.1
- 【下载频次】154