基于蚁群算法的水库调度图优化研究
Optimal reservoir rule curve based on Ant Colony Optimization
在满足发电保证率的条件下,以年均发电量最大为目标,建立了基于模拟的水库调度图优化模型。通过混合编码描述调度线的形状,采用蚁群算法优化关键点,求解模型。以隔河岩水电站为研究背景,开展隔河岩水库优化调度图编制研究。计算结果表明,较原设计方案,水库优化调度图年均发电量可提高0.32亿kW·h,提高幅度约1.21%,经济效益显著。
Based on Ant Colony Optimization (ACO), a simulation-optimization approach for deriving the optimal rule curve of reservoir was proposed and developed in this paper. The reservoir rule curve was described by some key points. After the simulation-based model was built, ACO was used to solve it and yielded optimal solution. As the case study of Geheyan hydropower plant, it is shown that the proposed method works very well and can improve the hydropower generation greatly.
周念来、纪昌明
水能利用、水电站工程水利枢纽、水工建筑物
优化水库调度调度图蚁群算法
optimizationreservoir operationrule curveAnt Colony Optimization
周念来,纪昌明.基于蚁群算法的水库调度图优化研究[EB/OL].(2007-05-06)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200705-41.点此复制
评论