含有可燃毒物的压水堆核电站堆芯装料设计优化研究  

Research on in-core fuel loading optimization of PWR nuclear power plants with burnable absorber fuel

作　　者：石秀安[1] 刘志宏[1] 胡永明[1] 

机构地区：[1]清华大学核能与新能源技术研究院,北京100084

出　　处：《核科学与工程》2008年第2期138-146,共9页Nuclear Science and Engineering

摘　　要：含可燃毒物的压水堆装料优化是燃料管理优化研究中的难点,应用通常的脱耦方法和优化算法效率低、全局性差。研究提出局部脱耦方法用以简化问题规模、缩小搜索空间,选择特征统计算法进行优化方案的搜索。利用局部脱耦方法结合特征统计算法研制出压水堆核电站堆芯LP和BP耦合装料优化程序CSALPBP。使用该程序对大亚湾第10循环和第12循环进行了装料优化计算。结果表明CSALPBP程序在求解含可燃毒物的压水堆装料优化问题方面具有很高的搜索效率和很好的全局性,能够较好地解决含可燃毒物的压水堆堆芯装料优化难题。The in-core reloading optimization of PWR nuclear power plants with burnable absorber fuel is very difficult. Common decoupling methods and optimization algorithms are inefficient and have bad global performance. In this paper, local decoupling method is put forward to simplify the scale of optimization problem and to reduce its searching scope. And characteristic statistic algorithm is chosen to search the optimal loading scheme. The corresponding optimization code,CSALPBP is developed to optimize core fuel assemblies＇ loading pattern and burnable poison＇s allocation of new fuel assemblies simultaneously, which uses local decoupling method combined with characteristic statistic algorithm. CSALPBP is separately applied to in-core fuel loading optimization of the 10^threfueling cycle and the 12^hrefueling cycle of Daya Bay nuclear power plant. The results show that CSALPBP has very high it can well solve the in-core fuel loading sorber fuel efficiency and excellent global performance and optimization puzzle of PWR with burnable absorber fuel.

关 键 词：可燃毒物 装料设计 优化 局部脱耦方法 特征统计算法 

分 类 号：TL42[核科学技术—核技术及应用]