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.
出处
《水电能源科学》
北大核心
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
关键词
水电站
优化调度
差分进化算法
hydropower station
optimal dispatching
differential evolution algorithm
