沈阳农业大学学报2025，Vol.56Issue(1)：73-81,9.DOI:10.3969/j.issn.1000-1700.2025.01.008
基于混合多目标粒子群算法的梯级橡胶坝群蓄洪调度研究
Research on Flood Storage and Scheduling of Cascade Rubber Dam Groups Based on HMOPSO Algorithm
摘要
Abstract
[Objective]The flood storage and scheduling problem of a cascade rubber dam group in urban river channels has nonlinearity,multidimensionality,and high constraints.Studying on its efficient and stable solution method can help fully utilize the water resources during the flood retreat period to supplement the reservoir capacity in the dam while ensuring flood control safety.It is of great significance to improve the efficiency of flood water utilization during the flood season.The study considered social,ecological,efficiency objectives and established a multi-objective flood storage and scheduling model for a cascade rubber dam group.[Methods]To improve the performance of model solving,a hybrid multi-objective particle swarm algorithm(HMOPSO)which initializes the population through logistic mapping is proposed,it can adopt differential evolution strategy to optimize the iterative process and introduce the roulette wheel method to select the global optimal solution.Taking the actual project of the cascade rubber dam in the central section of Xihe,Fuxin City as an example,the typical flood processes from 1994 to 2013 were selected as conditions to solve the multi-objective flood storage scheduling model.The results of HMOPSO algorithm were compared with MOPSO and NSGA-II algorithms,and various performance indicators were used to evaluate the Pareto front of each algorithm.The scheduling solution set was analyzed for regularity.[Results]The results showed that all algorithms meet the solving requirements,and the HMOPSO algorithm had a GD index superior to other algorithms by more than 28.57%and an HV index superior to other algorithms by more than 19.96%.This proves that the HMOPSO algorithm is superior to other comparative algorithms in terms of convergence,uniformity,and diversity,and can more effectively respond to flood storage and scheduling needs in different flood scenarios;there is a negative correlation between ecological goal and efficiency goal.If we focus on achieving ecological goal,the overall scheduling time will increase;the linear characteristics of the flood retreat period have an impact on the range of feasible solution sets for scheduling.The longer the available water storage capacity and scheduling time of the flood tail,the larger the range of feasible solution sets.[Conclusion]This article provides a theoretical basis for the rational flood storage and scheduling of cascade rubber dams in urban river sections based on the HMOPSO algorithm,which can serve as a reference for research in similar regions.关键词
梯级橡胶坝群/蓄洪调度模型/多目标粒子群算法/洪水资源利用Key words
cascade rubber dam group/flood storage scheduling model/multi-objective particle swarm algorithm/flood resource utilization分类
水利科学引用本文复制引用
徐伟,臧旭东,夏冰,张磊,杨蕾..基于混合多目标粒子群算法的梯级橡胶坝群蓄洪调度研究[J].沈阳农业大学学报,2025,56(1):73-81,9.基金项目
辽宁省教育厅课题项目(JYTZD2023124) （JYTZD2023124）
