中国防汛抗旱2025，Vol.35Issue(2)：13-18,6.DOI:10.16867/j.issn.1673-9264.2025037
基于改进遗传算法的水库防洪优化调度应用研究
Research on the application of reservoir flood optimal operation based on improved genetic algorithm
摘要
Abstract
Aiming to address the issues of non-dynamicity,insufficient flexibility,and poor adaptability to complex environmental changes in conventional reservoir scheduling methods,this paper considers the multi-objective requirements of reservoir flood scheduling tasks and the limitations of traditional genetic algorithms under complex constraints.It proposes a multi-objective flood optimization scheduling method for reservoirs based on an improved genetic algorithm.The optimization objective functions are to maximize peak cutting and minimize the highest reservoir water level.The algorithm introduces dynamic crossover and mutation strategies,and incorporates heuristic information from conventional reservoir operating rules and general reservoir discharge principles into the traditional genetic algorithm for model solving.Taking the Yangzhuang Reservoir on the northern rivers of the Haihe River Basin as the research object,the paper constructs reservoir flood scheduling models based on the improved genetic algorithm,scheduling rules,and traditional genetic algorithm,and conducts comparative analysis.The results show that the improved genetic algorithm can significantly improve the scheduling efficiency and flood control capability of the reservoir,providing reliable technology for reservoir management during the flood season.关键词
水库防洪调度/多目标/优化算法/改进遗传算法/启发式信息/海河流域/杨庄水库Key words
reservoir flood operation/multi-objective/optimization algorithm/improved genetic algorithm/heuristic information/Haihe River Basin/Yangzhuang Reservoir分类
建筑与水利引用本文复制引用
苑希民,刘广,王秀杰,彭芳,李匡,刘战友,张民升,刘业森..基于改进遗传算法的水库防洪优化调度应用研究[J].中国防汛抗旱,2025,35(2):13-18,6.基金项目
国家重点研发计划课题(2023YFC3209202) （2023YFC3209202）
天津市防洪调度应急指挥平台建设项目(JZ120205A0042024). （JZ120205A0042024）
