海河水利Issue(5)：90-93,4.DOI:10.3969/j.issn.1004-7328.2025.05.022
基于粒子群算法的洹河闸坝联合优化调度研究
Joint Optimal Operation of Huanhe River Sluices and Dams Based on Particle Swarm Optimization
张海南 1杨庆华 2刘兵1
作者信息
- 1. 安阳市水资源事务中心,河南 安阳 455000
- 2. 安阳市水利工程运行保障中心,河南 安阳 455000
- 折叠
摘要
Abstract
To fully utilize the regulation and storage capacity of the sluices and dams in the Anyang urban section of the Huanhe River,optimize regional water resource allocation,and improve the river's ecological environment,a multi-level sluice-dam operation model based on the particle swarm optimization(PSO)algorithm was developed.The ecological flow guarantee rate and the equilibrium of dam storage were taken as objective functions of the model,with water level control lines serving as decision variables.After optimization,the annual ecological flow guarantee rate reached 90%,the monthly guarantee rate reached 96%,and the comprehensive equilibrium of dam storage was 0.16.This joint operation rule not only satisfied the ecological flow requirements of the river,but also ensured the continuity of the landscape water level,thereby maximizing engineering benefits.关键词
闸坝联合调度/粒子群算法/生态流量保证率/闸坝蓄水均衡度Key words
joint sluice-dam operation/particle swarm optimization/ecological flow guarantee rate/equilibrium of dam storage分类
水利科学引用本文复制引用
张海南,杨庆华,刘兵..基于粒子群算法的洹河闸坝联合优化调度研究[J].海河水利,2025,(5):90-93,4.
