基于SEOA算法的水库调度优化配置模型应用研究  

Application research on optimal configuration model of reservoir scheduling based on SEOA algorithm

作　　者：陈哲 杨侃[1] 吴云 汤梓杰 张天衍 赵友成 CHEN Zhe;YANG Kan;WU Yun;TANG Zijie;ZHANG Tianyan;ZHAO Youcheng(College of Hydrology and Water Resources y Hohai University y Nanjing 210098,China;Shanxi Conservancy Technical Institute,Yuncheng 044004,China;Jurong Bureau of Water Conservancy and Agricultural Machinery,Jurong 212400,China)

机构地区：[1]河海大学水文水资源学院,江苏南京210098 [2]山西水利职业技术学院,山西运城044004 [3]句容水利农机局,江苏句容212400

出　　处：《水资源与水工程学报》2019年第5期170-175,共6页Journal of Water Resources and Water Engineering

基　　金：山西省水利科学技术研究与推广项目;云南省水利厅科技项目;国家重点基础研究发展计划(973计划)项目(2012CB417006);“十一五”国家科技支撑计划项目(2009BAC56B03)

摘　　要：针对水库调度配置中求解最小缺水量的问题,采用社会情感优化算法(SEOA算法),并在生成初始种群和算法收敛速度两方面进行改进,最后将改进后的算法运用到东榆林水库。结果表明:改进后的SEOA算法在水库调度最小缺水量问题中具有效率高、计算量少、寻优能力强的优点,有着一定的实用价值。Aiming at the problem of solving the minimum water shortage in the reservoir dispatching configuration,the social sentiment optimization algorithm(SEOA algorithm)was adopted,and the initial population and the convergence speed of the algorithm were improved,and the new algorithm was applied to the Dongyulin Reservoir.The results showed that the improved SEOA algorithm has the advantages of high efficiency,low computational complexity and strong searching ability in the problem of minimum water shortage in reservoir scheduling,which has practical values.

关 键 词：水库调度 最小缺水量 社会情感优化算法(SEOA) 直线优化 动态情绪阈值 

分 类 号：TV697.12[水利工程—水利水电工程]