scholarly journals A novel framework of deriving joint impoundment rules for large-scale reservoir system based on a classification-aggregation-decomposition approach

2020 ◽  
Author(s):  
Shaokun He ◽  
Shenglian Guo ◽  
Chong-Yu Xu ◽  
Kebing Chen ◽  
Zhen Liao ◽  
...  
Keyword(s):  
Flood Control ◽  
Large Scale ◽  
Geographical Location ◽  
Nsga Ii ◽  
Decomposition Approach ◽  
Flood Prevention ◽  
Reservoir System ◽  
Upper Yangtze River ◽  
The Upper Yangtze River ◽  
Progressive Optimization

Abstract. Joint and optimal impoundment operation of the large-scale reservoir system has become more crucial for modern water management. Since the existing techniques fail to optimize the large-scale multi-objective impoundment operation due to the complex inflow stochasticity and high dimensionality, we develop a novel combination of parameter simulation optimization and classification-aggregation-decomposition approach here to overcome these obstacles. There are four main steps involved in our proposed framework: (1) reservoirs classification based on geographical location and flood prevention targets; (2) assumption of a hypothetical single reservoir in the same pool; (3) the derivation of the initial impoundment policies by the non-dominated sorting genetic algorithm-II (NSGA-II); (4) further improvement of the impoundment policies via Parallel Progressive Optimization Algorithm (PPOA). The framework potential is performed on China's mixed 30-reservoir system in the upper Yangtze River. Results indicate that our method can provide a series of schemes to refer to different flood event scenarios. The best scheme outperforms the conventional operating rule, as it increases impoundment efficiency from 89.50 % to 94.16 % and hydropower generation by 7.70 billion kWh (or increase 3.79 %) while flood control risk is less than 0.06.

scholarly journals Optimizing Current and Future Hydroelectric Energy Production and Water Uses of the Complex Multi-Reservoir System in the Aliakmon River, Greece

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6499
Author(s):  
Panagiotis I. Bakanos ◽  
Konstantinos L. Katsifarakis
Keyword(s):  
Energy Production ◽  
Power Plants ◽  
Flood Control ◽  
Large Scale ◽  
Hydroelectric Energy ◽  
Reservoir System ◽  
Reservoir Systems ◽  
System Operator ◽  
Thermoelectric Power Plants ◽  
Water Uses

In this work we study long-term maximization of hydroelectric energy generation from complex multi-purpose reservoir systems, using the reservoir system of the Aliakmon River, Greece, as an application example. This system serves various purposes, like urban water supply, irrigation, hydroelectric energy production, cooling thermoelectric power plants and flood control, while preserving environmental flow. The system operator uses institutional rules for the annual scheduling of the outflows of the 2 largest reservoirs (Ilarion and Polyfyto) for additional safety and smooth distribution of energy production through the year. In this work, we focus on maximization of energy production. We have considered three different hydrological scenarios (dry, average and wet), both for the current and for anticipated future water demand. The multi-reservoir system’s operation was simulated and then optimized using a rather simple form of genetic algorithms, in order to maximize hydro energy production. All other water uses were taken into account as constraints. Our conceptual and computational approach succeeded to identify and quantify hydro energy production increase and to indicate necessary changes to the operating rule curves of the reservoirs. The methodology can be easily adapted to other large-scale multi reservoir systems.

scholarly journals Optimal Operation of Cascade Reservoirs for Flood Control of Multiple Areas Downstream: A Case Study in the Upper Yangtze River Basin

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1250 ◽  
Author(s):  
Chao Zhou ◽  
Na Sun ◽  
Lu Chen ◽  
Yi Ding ◽  
Jianzhong Zhou ◽  
...  
Keyword(s):  
Reservoir Operation ◽  
Yangtze River ◽  
Flood Control ◽  
Optimal Operation ◽  
Control Points ◽  
Operation Model ◽  
Cascade Reservoirs ◽  
Upper Yangtze River ◽  
The Upper Yangtze River

The purpose of a flood control reservoir operation is to prevent flood damage downstream of the reservoir and the safety of the reservoir itself. When a single reservoir cannot provide enough storage capacity for certain flood control points downstream, cascade reservoirs should be operated together to protect these areas from flooding. In this study, for efficient use of the reservoir storage, an optimal flood control operation model of cascade reservoirs for certain flood control points downstream was proposed. In the proposed model, the upstream reservoirs with the optimal operation strategy were considered to reduce the inflow of the reservoir downstream. For a large river basin, the flood routing and time-lag cannot be neglected. So, dynamic programming (DP) combined with the progressive optimality algorithm (POA) method, DP-POA, was proposed. Thus, the innovation of this study is to propose a two-stage optimal reservoir operation model with a DP-POA algorithm to solve the problem of optimal co-operation of cascade reservoirs for multiple flood control points downstream during the flood season. The upper Yangtze River was selected as a case study. Three reservoirs from upstream to downstream, Xiluodu, Xiangjiaba and the Three Gorges reservoirs (TGR) in the upper Yangtze River, were taken into account. Results demonstrate that the two-stage optimization algorithm has a good performance in solving the cascade reservoirs optimization problem, because the inflow of reservoir downstream and the division volumes were largely reduced. After the optimal operation of Xiluodu and Xiangjiaba reservoirs, the average reduction of flood peak for all these 13 typical flood hydrographs (TFHs) is 13.6%. Meanwhile, the cascade reservoirs can also store much more storm water during a flood event, and the maximum volumes stored in those two reservoirs upstream in this study can reach 25.2 billion m3 during a flood event. Comprising the proposed method with the current operation method, results demonstrate that the flood diversion volumes at the flood control points along the river decrease significantly.

A novel impoundment framework for a mega reservoir system in the upper Yangtze River basin

2022 ◽  
Vol 305 ◽  
pp. 117792
Author(s):  
Shaokun He ◽  
Shenglian Guo ◽  
Jiabo Yin ◽  
Zhen Liao ◽  
He Li ◽  
...  
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Reservoir System ◽  
Upper Yangtze River ◽  
The Upper Yangtze River

scholarly journals Hydrological alteration of the upper Yangtze River and its possible links with large-scale climate indices

2019 ◽  
Vol 50 (4) ◽  
pp. 1120-1137
Author(s):  
Qianjin Dong ◽  
Debin Fang ◽  
Jian Zuo ◽  
Yongqiang Wang
Keyword(s):  
Yangtze River ◽  
Water Resource Management ◽  
Large Scale ◽  
Phase Relationship ◽  
Wavelet Coherence ◽  
Climate Indices ◽  
Hydrological Alteration ◽  
Upper Yangtze River ◽  
The Relationship ◽  
The Upper Yangtze River

Abstract The relationship between hydrological alteration and climate variability in the upper Yangtze River is not fully understood. In this paper, the periodicity features and the intercorrelation of annual and seasonal eco-flow metrics at the Yichang gauge station are analyzed for the period 1882 to 2013. Analysis is carried out to explore the formation of the eco-flow metrics and the possible linkages between eco-flow metrics and selected climate indices, using the cross-wavelet and wavelet coherence methods on data from 1948 to 2013. The results show that the variation of eco-flow metrics correlates well with some selected climate indices, but changes in different eco-flow metrics are complex. Most annual and seasonal eco-flow metrics correlate well with the Northern Hemisphere (N.H) and Indian Ocean Dipole (IOD) and have a significant common power in the two to four years band. In addition, most annual eco-flow metrics have an obvious phase relationship with the selected climate indices. However, the seasonal eco-flow metrics have no significant phase relationship with the selected climate indices. These findings provide a better understanding of how hydrological alterations of the streamflow and better water resource management can ensure ecosystem sustainability for the Yangtze River.

scholarly journals Joint optimal flood control operation of large scale mixed reservoirs

2018 ◽  
Vol 246 ◽  
pp. 01088
Author(s):  
Gang Zha ◽  
Jianzhong Zhou ◽  
Lu Chen ◽  
Quansen Wang ◽  
Chengwei Lu ◽  
...  
Keyword(s):  
Flood Control ◽  
Large Scale ◽  
Time Lag ◽  
Flood Routing ◽  
Control Points ◽  
Joint Operation ◽  
The Three Gorges ◽  
Upper Yangtze River ◽  
Reservoir Construction

With the reservoir construction gradually completed, joint operation of reservoir groups is an important measure to realize reservoir flood control potential,but when the river basin is large, the flood channel routing and time-lag cannot be simplified, in addition, the curse of dimensionality is very difficult for model solving With the expansion of the number of reservoirs. These factors restrict the application of joint operation of large scale mixed reservoirs.In this study, The DP-POA cyclic iterative algorithm which is based on large scale system decomposed-coordinating method was proposed to solve the optimal problem considering the flood routing and time-lag.The upper Yangtze River is selected as a case study. 6 reservoirs, including the Three Gorges Reservoir(TGR)、Xiangjiaba Reservoir(XJB)、Xiluodu Reservoir (XLD)、 Pubugou Reservoir (PBG)、Goupitan Reservoir (GPT) and Tingzikou Reservoir (TZK)are taken into accounts.Compared with current operation of reservoirs independent,results demonstrate that the method can effectively reduce the maximum operating water level of TGR and flood diversion in the lower reaches of the TGR. Therefore, the safety of the flood control points along the river has been largely improved based on the proposed method.

scholarly journals Modeling and Solving of Joint Flood Control Operation of Large-Scale Reservoirs: A Case Study in the Middle and Upper Yangtze River in China

Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 41
Author(s):  
Gang Zha ◽  
Jianzhong Zhou ◽  
Xin Yang ◽  
Wei Fang ◽  
Ling Dai ◽  
...  
Keyword(s):  
Yangtze River ◽  
Flood Control ◽  
Large Scale ◽  
Control Point ◽  
Optimal Operation ◽  
Control Operation ◽  
Upper Yangtze River ◽  
Flood Control Operation ◽  
Flood Diversion

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.

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