摘要
本文针对目前各种梯级水电站优化调度算法存在不足,以云南滚朋羊梯级水电站优化调度为工程背景,着力考虑该梯级总发电量和最大保证出力2个重要指标,并且围绕这2个指标建立该梯级水电站优化调度的目标函数,采用蚁群算法获得该目标函数的解。最后通过仿真证明,采用蚁群算法获得的解将是全局最优解。
As for the disadvantages of algorithm in optimal operation of cascade hydropower stations, the paper took Gunpengyang hydropower station as a case and considered total electric energy generated and maximum firm capacity. The objective function of optimal operation was established. Ant colony algorithm was adopted to solve this problem. And it was proved that the solution of ant colony algorithm was the optimum solution by simulation.
出处
《贵州科学》
2011年第4期46-51,共6页
Guizhou Science
基金
国家自然科学基金(50879051)
关键词
滚朋羊梯级水电
目标函数
蚁群算法
全局最优解
Gunpengyang cascade hydropower station, objective function, ant colony algorithm, globally optimal solution