基于混沌变异布谷鸟算法的水库供水优化调度  

Joint Dispatching Optimization for Water Supply Reservoirs Based on Chaotic Mutation Cuckoo Search Algorithm

作　　者：吴云 陆晓 杨侃[2] 仲晓林 齐伟擎 WU Yun;LU Xiao;YANG Kan;ZHONG Xiaolin;QI Weiqing(Shanxi Conservancy Technical Institute,Taiyuan 044004,Shanxi,China;College of Hydrology and Water Resources,Hohai University,Nanjing 210098,Jiangsu,China;Yangzhou Survey Design Research Institute Co.,Ltd.,Yangzhou 225000,Jiangsu,China)

机构地区：[1]山西水利职业技术学院,山西太原044004 [2]河海大学水文水资源学院,江苏南京210098 [3]扬州市勘测设计研究院有限公司,江苏扬州225000

出　　处：《水力发电》2019年第10期84-87,共4页Water Power

基　　金：山西省水利科学技术项目计划项目;云南省水利厅科技项目

摘　　要：根据水库联合供水优化调度的特点,建立了混沌变异布谷鸟算法求解多阶段组合优化问题的数学模型。针对标准布谷鸟算法全局寻优及局部搜索能力不平衡、后期收敛速度慢等缺点,采用混沌初始化以丰富种群的多样性,为全局寻优建立基础;同时引入变异算子以避免算法后期陷入局部最优。并以“山西大水网”为背景,将改进的布谷鸟算法应用于长治盆地供水区的优化调度,通过与标准布谷鸟算法进行对比,验证了混沌变异布谷鸟算法在水库联合优化调度中的有效性和优越性。According to the characteristics of joint water supply dispatching optimization of reservoirs,a mathematical model based on chaotic mutation cuckoo search algorithm is established to solve the multi-stage combination optimization problem.Aiming at the shortcomings of imbalance global optimization and local search ability and slower convergence rate of standard cuckoo search algorithm,the chaotic initialization is used to enrich the diversity of population for establishing the basis of global optimization,and at the same time,the mutation operator is introduced to avoid the algorithm falling into local optimization.Taking Shanxi Water Network as study object,the improved cuckoo search algorithm is applied to the dispatching optimization of water supply reservoirs in Changzhi Basin.The comparison with the results of standard cuckoo search algorithm verifies the feasibility and effectiveness of chaotic mutation cuckoo search algorithm in the joint dispatching optimization of reservoirs.

关 键 词：水库 优化调度 布谷鸟算法 混沌初始化 变异算子 

分 类 号：TV697.1[水利工程—水利水电工程]