Research on Flood Storage and Scheduling of Cascade Rubber Dam Groups Based on HMOPSO Algorithm
Journal Title: Journal of Shenyang Agricultural University - Year 2025, Vol 56, Issue 1
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.
Authors and Affiliations
XU Wei，ZANG Xudong，XIA Bing，ZHANG Lei，YANG Lei
Keywords
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- EP ID EP764960
- DOI DOI:10.3969/j.issn.1000-1700.2025.01.008
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