中国防汛抗旱2025，Vol.35Issue(6)：49-56,8.DOI:10.16867/j.issn.1673-9264.2024343
基于改进遗传算法的水库群联合防洪优化调度研究
Research on flood control optimization operation of reservoir group based on improved genetic algorithm
摘要
Abstract
In the context of achieving the"four pres"(forecasting,early warning,drill and emergency plan)of intelligent water conservancy goals,in view of the fact that a single reservoir is unable to coordinate the multi-objective,multi-attribute,multi-level,and multi-stage flood control contradictions in the upper and lower reaches of the reservoir,an improved non-dominated sorting genetic algorithm-based reservoir group joint flood control optimal operation model is proposed.Taking the typhoon No.2106"In-Fa"and typhoon No.2114"Chanthu"experienced in Yuyao City as examples,the outflow joint operation schemes of a"one large and three medium"reservoir group are selected for simulation.The calculation results show that:compared with the regular operation,the highest water level at Yuyao Station during the typhoon"In-Fa"decreased by 0.17 m after being regulated by the improved genetic algorithm-based reservoir group joint optimal operation model,with a decrease amplitude reaching 4.82%;during the typhoon"Chanthu",the highest water level decreased by 0.14 m compared with the unregulated situation,with a decrease amplitude reaching 4.79%.This proves the effectiveness of this model in peak-shaving,in order to provide reference for the rational formulation of reservoir scheduling plans.关键词
水库群/优化调度/改进遗传算法/浙江余姚市Key words
reservoir group/optimal dispatch/improved genetic algorithm/Yuyao City of Zhejiang Province分类
建筑与水利引用本文复制引用
吴劭辉,鲁东辉,王灵敏,龚阳杰,唐喜珍,胡世明,韩子潮..基于改进遗传算法的水库群联合防洪优化调度研究[J].中国防汛抗旱,2025,35(6):49-56,8.基金项目
浙江省水利厅2024年度重点项目(RB2423). （RB2423）
