基于狼群算法的水电站优化调度模型参数优选  

Parameter analysis of wolf pack search algorithm applied to optimal operation of hydropower station

作　　者：焦钰[1] 王建群[1] 贾洋洋[1] 

机构地区：[1]河海大学水文水资源学院,南京210098

出　　处：《南水北调与水利科技》2017年第2期58-64,共7页South-to-North Water Transfers and Water Science & Technology

基　　金：国家自然科学基金项目(41371047);国家重点研发计划课题(2016YFC0400909)~~

摘　　要：以典型水电站优化调度模型为基础,先采用单因素分析法对狼群算法单参数的敏感性进行了分析评价,以算法寻优效果达到最优为目标,得出了参数的有效取值范围;再采用正交实验与极差分析方法,对狼群算法多参数的敏感性进行了综合分析,同理得出了参数变化的敏感性主次序和参数最佳取值组合。实例的验证结果表明,研究选取的参数取值范围和最佳取值组合有效地提升了算法的优化性能,为狼群算法应用于水电站优化调度提供了参数选择依据。Using the single factor analysis method,we analyzed and evaluated the influence of each parameter of wolf pack search algorithm on the optimization effects of the optimal operation model for hydropower stations,and obtained the effective value range of the parameters.The orthogonal test and range analysis method were used to comprehensively analyze the susceptibility of multiple parameters of wolf pack search algorithm,and to obtain the sensitivity rankings and optimal value combination of the parameters.Simulation results in the cases showed that the effective value range and optimal value combination of the parameters have a positive effect on the optimization performance of the proposed algorithm,and can provide basis for parameter selection for the wolf pack search algorithm applied to optimal operation of hydropower station.

关 键 词：狼群算法 群体智能算法 水电站 优化调度 参数 

分 类 号：TV11[水利工程—水文学及水资源]