Abstract
Flood disasters are the most frequent and most severe natural disasters in most countries around the world. Reservoir flood operation is an important method to reduce flood losses. When there are multiple reservoirs and flood control points in the basin, it is difficult to use reservoirs separately to fully realize their flood control potential. However, the multi-reservoir joint flood control operation is a multi-objective, multi-constrained, multi-dimensional, nonlinear, and strong-transition feature decision-making problem, and these characteristics make modeling and solving very difficult. Therefore, a large-scale reservoirs flood control operation modeling method is innovatively proposed, and Dynamic Programming (DP) combined with the Progressive Optimality Algorithm (POA) and Particle Swarm Optimization (PSO) methods, DP-POA-PSO, are designed to efficiently solve the optimal operation model. The middle and upper Yangtze River was chosen as a case study. Six key reservoirs in the basin were considered, including Xiluodu (XLD), Xiangjiaba (XJB), Pubugou (PBG), Tingzikou (TZK), Goupitan (GPT), and Three Gorges (TG). Studies have shown that DP-POA-PSO can effectively solve the optimal operation model. Compared with the current operation method, the joint flood control optimal operation makes the flood control point reach the flood control standard, moreover, in the event of the flood with a return period of 1000 years, Jingjiang, the most critical flood control point of the Yangtze River, does not require flood diversion, and the volume of flood diversion in Chenglingji is also greatly reduced.
Highlights
Since ancient times, flood disasters have been the most frequent natural disasters, with the most severe losses, the most affected people, and the most extensive impacts faced by humans
In order to prove the feasibility of the optimal flood control operation model and Dynamic Programming (DP)-Progressive Optimality Algorithm (POA)-Particle Swarm Optimization (PSO) algorithm proposed in this paper, the results of the optimal operation model are compared with the current methods
From the operation results of Jingjiang and Chenglingji, it can be seen that the flood control optimal operation model of reservoirs and DP-POA-PSO algorithm proposed in this paper can significantly reduce the flood diversion of these two flood control points compared with the current method
Summary
Flood disasters have been the most frequent natural disasters, with the most severe losses, the most affected people, and the most extensive impacts faced by humans. The decision-making dimension is reduced, the hydraulic connection between reservoirs cannot be considered, which cannot be ignored, especially in a large basin He et al [8] designed a flood control operation method which is based on equal water storage, and successfully applied to flood control in the middle and upper Yangtze River. Based on the advantages and disadvantages of each algorithm, this paper proposes an algorithm that combines DP, POA, and PSO to solve a large-scale reservoirs joint flood control optimal operation model. This algorithm reduces the scale of DP calculation and avoids the “dimensional disaster”. A combination optimization algorithm is proposed to complete the efficient solution of the model, and the flood control system composed of six reservoirs and eight control points in the middle and upper reaches of the Yangtze River is taken as a case study
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