Research and Application of Reservoir Flood Control Optimal Operation Based on Improved Genetic Algorithm

被引：16
|
作者：
Ren, Minglei [1 ,2 ]
Zhang, Qi [3 ]
Yang, Yuxia [3 ]
Wang, Gang [1 ,2 ]
Xu, Wei [3 ]
Zhao, Liping [1 ,2 ]
机构：
[1] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
[2] Minist Water Resources, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
[3] Chongqing Jiaotong Univ, Coll River & Ocean Engn, Chongqing 400074, Peoples R China
来源：
WATER | 2022年 / 14卷 / 08期
基金：
中国国家自然科学基金;
关键词：
genetic algorithm; flood control; reservoir operation;
D O I：
10.3390/w14081272
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper took the Foziling Reservoir in the Pi River Basin as an example, used an improved genetic algorithm to optimize the flood control dispatching during the flood process, and compared the results with the traditional genetic algorithm and the dispatching plan in the 2020 large-scale reservoir flood control operation plan. The results showed that, compared with the traditional genetic algorithm, the improved genetic algorithm saved the time for the model to determine the penalty coefficients and made the model application more convenient. At the same time, the design of the original scheduling scheme also has certain limitations. The scheduling results obtained by improving the genetic algorithm could occupy a small flood control capacity as much as possible under the premise of ensuring the safety of the reservoir itself and the downstream area.
引用
收藏
页数：15
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