首页|城市河网工程群多目标联合调度优化模型

城市河网工程群多目标联合调度优化模型

扫码查看
城市河网工程群联合调度优化是一项复杂的系统工程,涉及多种闸、泵、堰等水利工程,是多时段、多对象、多约束、多目标非线性优化问题.基于此,提出了面向河网水环境改善目标的水工程群多目标联合调度优化模型,综合运用了"水量水质模型—优化调度模型—优化求解算法—方案优选方法"耦合方式,构建面向河网水环境改善的工程群多目标联合调度优化模型,并采用EM-MOPSO算法的优化模型求解、基于AHP-TOPSIS的联合调度方案优选,以实现对河网水工程群联合调度的优化与决策支持,选择了长三角地区某城市河网开展了优化模型关键技术的数值试验与案例分析.结果表明:相较于水工程常规调度方式,本优化模型可以减少河网生态引水量23.9%~28.5%、提升河网水体水质达标度11.8%~90.4%,优化模型能够支撑平原城市河网地区取得显著的防洪除涝、水资源调配、水环境改善等多方面的综合效益.
Multi-objective joint optimal regulation model of water works group in urban river network areas
The joint scheduling optimization of water works group in urban river network areas is a complex system,involving numerous water projects such as floodgates,pumps,and weirs.It is a complex nonlinear optimization problem with multiple time periods,objects,constraints,and objectives.This article proposes a multi-objective joint scheduling optimization model for water works groups aimed at improving the water environment of river networks.The coupling method of"water quantity and quality model-optimal scheduling model-optimal solving algorithm-scenario optimization method"is comprehensively used to construct a multi-objective joint scheduling optimization model for water works groups aimed at improving the water environment of river networks.The EM-MOPSO algorithm is used to solve the optimization model,and the AHP-TOPSIS based joint scheduling scheme optimization to achieve optimization and decision support for the joint scheduling of water works group in river network areas.Numerical experiments and case analysis of key optimization model technologies are carried out in a river network of a city in the Yangtze River Delta region.The results show that compared with the conventional scheduling method of water engineering,this optimization model can reduce the ecological water diversion of the river network by 23.9%~28.5%and improve the water quality compliance of the river network by 11.8%~90.4%.The optimization model can support significant comprehensive benefits such as flood control,water resource allocation,and water environment improvement in plain urban river network areas.

plain urban river networkwater works groupmulti-objective joint regulationoptimization modelAHP-TOPSIS

杨帆、黄玄、范子武、贾本有、乌景秀、李子祥、朱沈涛

展开 >

南京水利科学研究院,南京 210029

水利部太湖流域水治理重点实验室,南京 210029

南京瑞迪水利信息科技有限公司,南京 210029

城市河网 工程群 多目标联合调度 优化模型 AHP-TOPSIS

国家重点研发计划项目广西科技重大专项项目江苏省水利科技项目中央级公益性科研院所基本科研业务费专项项目

2022YFC3202603桂科AA230620532023008Y124002

2024

中国防汛抗旱
中国水利学会

中国防汛抗旱

影响因子:0.286
ISSN:1673-9264
年,卷(期):2024.34(9)