长江科学院院报2012，Vol.29Issue(3)：1-6,12,7.
基于改进遗传算法的生态友好型水库调度
Reservoir Operation in an Eco-friendly Manner Based on Adaptive Genetic Algorithm
陈端 1陈求稳 2陈进1
作者信息
- 1. 中国科学院生态环境研究中心,北京100085
- 2. 长江科学院,武汉430010
- 折叠
摘要
Abstract
A model with annual power generation as objective function was established to optimize cascaded reservoir operation by using adaptive genetic algorithm. In addition to conventional constraints of water level and discharges etc, the model took ecological flow demand (EFD) into consideration. The model was applied to the operation of two cascade reservoirs on Yalong River in Southwest China. The optimal operation scheme was obtained through genetic algorithm, where a maximum total power generation could be achieved and all the constraints including EFD were satisfied. However, this solution would bring 8% hydropower loss compared with the optimal operation without EFD. In view of this, the quantitative response relation between hydropower loss and ecological flow demand were studied. The trade-off was found at the point when 70% EFD was guaranteed.关键词
生态友好调度/改进遗传算法/生态需水过程/优化模型Key words
eco-friendly reservoir operation/adaptive genetic algorithm/ecological flow/optimization model分类
建筑与水利引用本文复制引用
陈端,陈求稳,陈进..基于改进遗传算法的生态友好型水库调度[J].长江科学院院报,2012,29(3):1-6,12,7.
