小生境遗传算法优化压水堆换料的研究
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摘要
提出一种基于小生境遗传算法的压水堆初装料优化方法,以大亚湾压水堆核电站堆芯燃料组件布置为参照模型,通过计算机编程语言将优化算法以及堆芯物理参数计算程序整合,堆内参数计算选用堆芯计算软件"donjon"以及组件计算软件"dragon",以此对大亚湾压水堆核电站初装料燃料组件布置进行优化计算,并将结果与相关研究文献对比分析,验证文中采用方法的正确性。经对比分析,证实文中提出方法能较好解决压水堆初装料问题,且优化过程中在有限初始群体个数及有限迭代次数下,算法全局搜索强,收敛速度快,收敛效果好。优化结果表明,kh满足安全限值范围(kh<1.4),与参考方案相比keff得到增加,且在一定程度上优于参考文献值。
A modified genetic algorithm-niche genetic algorithm is presented in this paper for first fuel loading pattern optimization, the mathematical model for the loading pattern optimization for a pressurized water reactor(PWR)was established on Daya Bay Nuclear Power Plant. In order to optimize the first fuel loading pattern for Daya Bay Nuclear Power Plant,Mixing the optimization algorithm with nuclear physics calculation code by computer programming language. Nuclear physics calculation code consist of core physics calculation code"Donjon"and assembles group constant calculation code"Dragon". Then comparing the result with related research paper to verify the validity of this method. It is proved that programs developed by this paper can optimize the fuel loading pattern effectively. Thealgorithm have great global search capability,fast convergent rate and good convergence results with limited number of initial population and limited number of iteration. The result shows that,the local power peaking factor is satisfied the safety requirement(kh<1.4),while the core effective multiplication factor has increase comparing with scheme for reference.
A modified genetic algorithm-niche genetic algorithm is presented in this paper for first fuel loading pattern optimization, the mathematical model for the loading pattern optimization for a pressurized water reactor(PWR)was established on Daya Bay Nuclear Power Plant. In order to optimize the first fuel loading pattern for Daya Bay Nuclear Power Plant,Mixing the optimization algorithm with nuclear physics calculation code by computer programming language. Nuclear physics calculation code consist of core physics calculation code"Donjon"and assembles group constant calculation code"Dragon". Then comparing the result with related research paper to verify the validity of this method. It is proved that programs developed by this paper can optimize the fuel loading pattern effectively. Thealgorithm have great global search capability,fast convergent rate and good convergence results with limited number of initial population and limited number of iteration. The result shows that,the local power peaking factor is satisfied the safety requirement(kh<1.4),while the core effective multiplication factor has increase comparing with scheme for reference.
引文
[1]Wu H.Pressurized water reactor reloading optimization using genetic algorithms[J].Annals of Nuclear Energy,2001,28(13):1329-1341.
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[3]Chapot J L C,Silva F C D,Schirru R.A new approach to the use of genetic algorithms to solve the pressurized water reactor’s fuel management optimization problem[J].Annals of Nuclear Energy,1999,26(7):641-655.
[4]姚红.157组燃料组件组成的堆芯燃料管理研究[J].原子能科学技术,2013(10):1845-1851.
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[12]Varin E,Hebert A,Roy R.A USER GUIDE FOR DONJONVERSION 3.00 rev C-2003/11/28[J].2005.
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[2]Rudolph G.Convergence analysis of canonical genetic algorithms[J].IEEE Trans Neural Netw,1994,5(1):96-101.
[3]Chapot J L C,Silva F C D,Schirru R.A new approach to the use of genetic algorithms to solve the pressurized water reactor’s fuel management optimization problem[J].Annals of Nuclear Energy,1999,26(7):641-655.
[4]姚红.157组燃料组件组成的堆芯燃料管理研究[J].原子能科学技术,2013(10):1845-1851.
[5]刘仕倡,蔡杰进.基于粒子群优化算法的压水堆换料优化初步研究[J].核动力工程,2013(05):1-5.
[6]金舒.基于遗传算法的应用开发[J].自动化技术与应用,2002(02):40-42.
[7]王涛,谢仲生.混合遗传算法在压水堆换料优化中的应用[J].西安交通大学学报,2005(05):522-525.
[8]Li M,Chen X,Liu C.Pareto and Niche Genetic Algorithm for Storage Location Assignment Optimization Problem:Innovative Computing Information and Control,2008.ICICIC'08.3rd International Conference on,2008[C].
[9]严心池,华渊.可靠性优化问题中遗传算法适应值函数的建立[J].计算力学学报,2009(01):120-123.
[10]张雷.海明距离参数对基于海明距离遗传算法的影响[J].北华大学学报(自然科学版),2010(03):286-288.
[11]Marleau G,Hebert A,Roy R.A User Guide for DRAGON3.06[J].2006.
[12]Varin E,Hebert A,Roy R.A USER GUIDE FOR DONJONVERSION 3.00 rev C-2003/11/28[J].2005.
[13]李倩倩.基于压水堆换料优化基准问题的随机优化方法的机理及应用研究[D].上海交通大学,2010.