Real-time Optimization of Urban Channel Gate Control Based on A Segmentation Hydraulic Model
Real-time Optimization of Urban Channel Gate Control Based on A Segmentation Hydraulic Model
复制标题
基于分段水力学模型的城市航道闸门控制实时优化
DOI：
10.1016/j.jhydrol.2023.130029
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发表时间：
2023-08
影响因子：
6.4
通讯作者：
Lina Zhang;Chao Wang;Yang Yu;Cuncun Duan;X. Lei;Bin Chen;Hao Wang;Ruizhi Zhang;Youqing Wang
中科院分区：
文献类型：
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作者：
Lina Zhang;Chao Wang;Yang Yu;Cuncun Duan;X. Lei;Bin Chen;Hao Wang;Ruizhi Zhang;Youqing Wang
随着城市水资源日益稀缺，最优控制工程已成为提高环境水利用效率的一种有前景的方法。水力模型能够准确地建模和预测河道内发生的复杂水动力过程。然而，其优化和仿真时间往往因信道系统的复杂性而延长，导致实时性较差。本研究提出了一种分段液压实时优化方法，该方法将基于规则的模拟（RS）与实时优化（RTO）相结合。该方法的目的是通过将全水力模型（FHM）分为优化分段水力模型（SHMO）和非优化分段水力模型（SHMN）来降低水力模型复杂性并缩短优化时间。该方法主要有两个改进：（1）采用基于RS的分割点识别方法从FHM中获得SHMO； (2)采用分段优化框架实现基于SHMO的RTO。我们通过中国清河的案例研究证明了该方法的有效性。结果表明，利用分割点识别方法可以将FHM成功分割为SHMO和SHMN，仿真效果相似（R>0.88，RMSE<0.1），分段水力实时优化方法可以减少水力模型的优化时间（平均68%）。实例研究表明，该方法是一种计算高效、可行的基于水力模型的城市通道闸门控制实时调节方法。
With the urban water resources becoming increasingly scarce, the optimal control engineering has emerged as a promising approach to improve the efficiency of water use in the environment. A hydraulic model is capable of accurately modeling and predicting the complex hydrodynamic processes occurring within a channel. However, its optimization and simulation time are often prolonged by the complexity of the channel system, resulting in poor real-time performance. This study presents a segmented hydraulic real-time optimization approach that combines rule-based simulation (RS) with real-time optimization (RTO). The aim of the proposed method is to reduce hydraulic model complexity and improve optimization time by dividing the full hydraulic model (FHM) into optimized segmented hydraulic model (SHMO) and non-optimized segmented hydraulic model (SHMN). The approach presents two main improvements: (1) a segmentation point recognition method based on RS is used to obtain SHMOfrom the FHM; and (2) a segmented optimization framework is employed to enable RTO based on SHMO. We demonstrate the effectiveness of the approach using a case study of China's Qing River. The results indicate that FHM can be successfully divided into SHMOand SHMNwith similar simulation effect (R > 0.88 and RMSE < 0.1) by using the segmentation point recognition method, and the segmented hydraulic real-time optimization approach can reduce optimization time (average 68%) of hydraulics model. The case study indicated that the proposed method is a computationally efficient and feasible approach for real-time regulation of urban channel gate control based on hydraulic model.