差分进化算法在水电站优化调度中的应用  

Application of Differential Evolution Algorithm in Optimal Dispatching of Hydropower Station

作　　者：王文川[1] 徐冬梅[1] 邱林[2] 马建琴[1] 

机构地区：[1]华北水利水电学院水利学院,河南郑州450011 [2]华北水利水电学院环境与市政工程学院,河南郑州450011

出　　处：《水电能源科学》2009年第3期162-164,192,共4页Water Resources and Power

基　　金：水利部公益性行业科研基金资助项目(200801015);华北水利水电学院高层次人才科研启动基金资助项目(200821);河南省2007年骨干教师基金资助项目

摘　　要：针对水电站优化调度的特点,以某水电站为例探讨了一种在连续空间中进行并行随机搜索的差分进化算法的应用及效果,结果表明该算法全局搜索能力强、计算精度较高、可靠,为水电站优化调度提供了一种更为有效的新方法。According to characteristics of hydropower station optimal dispatching,the Differential Evolution（DE） Algorithm is presented for hydropower optimization. As a parallel direct search method,its initial vector population is chosen randomly and can cover the entire continuous spaces. The application and effect are investigated with certain hydropower station, and the results shows that the DE has better global searching ability,calculation accuracy,and reliability than other algorithms and is an effective and efficient new optimization method to solve the problem of optimal dispatching of hydropower station.

关 键 词：水电站 优化调度 差分进化算法 

分 类 号：TV697.11[水利工程—水利水电工程]