核电事故应急随机网络的粒子群优化分析  

Analysis in Nuclear Power Accident Emergency Based on Random Network and Particle Swarm Optimization

作　　者：龚迪琛[1] 方方[1] 陈智[2] 丁卫撑[1] 

机构地区：[1]成都理工大学核技术与自动化工程学院,四川成都610059 [2]中国核动力研究设计院核反应堆系统设计技术重点实验室,四川成都610041

出　　处：《原子能科学技术》2014年第5期898-902,共5页Atomic Energy Science and Technology

基　　金：成都理工大学优秀创新团队培育计划资助项目(KYTD201301)

摘　　要：本文构建了核电事故应急过程的GERT随机网络模型,在分析日本福岛核事故应急救援过程的基础上,研究智能计算方法与传统随机网络相结合的途径。将应急过程分解为串联环节和并联环节,将并联环节作为串联环节的一部分,先以整体为对象进行资源配置优化,再单独分析并联环节。分析了应急资源对各救援环节的作用,在应急资源一定的前提下提出了对应的粒子运动速度矢量受限。利用速度投影矩阵纠正粒子运动,得到了资源受限的粒子群优化算法,获得了应急过程中资源的优化配置,以及降低了核电事故应急的时间消耗。The GERT random network model of nuclear power accident emergency was built in this paper , and the intelligent computation was combined with the random network based on the analysis of Fukushima nuclear accident in Japan .The emergency process was divided into the series link and parallel link ,and the parallel link was the part of series link .The overall allocation of resources was firstly optimized ,and then the parallel link was analyzed . The effect of the resources for emergency used in different links was analyzed ,and it was put forward that the corresponding particle velocity vector was limited under the condition of limited emergency resources . The resource-constrained particle swarm optimization was obtained by using velocity projection matrix to correct the motion of particles . The optimized allocation of＆amp;nbsp;resources in emergency process was obtained and the time consumption of nuclear power accident emergency w as reduced .

关 键 词：核电事故 应急过程 随机网络 粒子群优化 

分 类 号：TL73[核科学技术—辐射防护及环境保护] TP18[自动化与计算机技术—控制理论与控制工程]