scholarly journals Exploration and attribution of synergistic gains from joint optimal operation of downstream Jinsha River cascade and Three Gorges cascade reservoirs for hydropower generation

2018 ◽  
Vol 20 (5) ◽  
pp. 1042-1057 ◽  
Author(s):  
Bin Xu ◽  
Hongyi Yao ◽  
Ping-An Zhong ◽  
Juan Chen ◽  
Jisi Fu ◽  
...  

Abstract Joint operation for multi-reservoir systems leads to synergistic gains. This study aims to explore and attribute the driven mechanism of synergism from joint operation of a multi-hydropower system. It quantified synergistic gains in spatial, temporal, and interannual scales by establishing and solving an individual and a joint reservoir operation model. It then proposed an attribution method for identifying the contribution of water released and water head to synergistic gains using total differential equation. Results of the case study of the downstream Jinsha River cascade and Three Gorges cascade reservoirs during the drawdown season show that: (1) synergistic gains generally occur in May and are mostly generated in Xiangjiaba and Gezhouba; (2) joint reservoir operation is driven by the rapid drawdown policy of Xiluodu and the Three Gorges in early May, which lowers down their water head and gains for most cases; (3) the main contribution factor to synergistic gains of Xiangjiaba and Gezhouba are water released and water head, respectively; and (4) the influence mechanisms of synergistic gains of Xiangjiaba and Gezhouba are jointly determined by their storage and power release capacity conditions. The study provides new insights for analyzing synergism of joint hydropower operations.

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1250 ◽  
Author(s):  
Chao Zhou ◽  
Na Sun ◽  
Lu Chen ◽  
Yi Ding ◽  
Jianzhong Zhou ◽  
...  

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.


2015 ◽  
Vol 523 ◽  
pp. 758-767 ◽  
Author(s):  
Tao Bai ◽  
Jian-xia Chang ◽  
Fi-John Chang ◽  
Qiang Huang ◽  
Yi-min Wang ◽  
...  

Author(s):  
Mahdi Sedighkia ◽  
Bithin Datta ◽  
Asghar Abdoli

Abstract The present study proposes a novel framework to optimize the reservoir operation through linking mesohabitat hydraulic modeling and metaheuristic optimization to mitigate environmental impact at downstream of the reservoir. Environmental impact function was developed by mesohabitat hydraulic simulation. Then, the developed function was utilized in the structure of the reservoir operation optimization. Different metaheuristic algorithms including practice swarm optimization, invasive weed optimization, differential evolution and biogeography-based algorithm were used to optimize reservoir operation. Root mean square error (RMSE) and reliability index were utilized to measure the performance of algorithms. Based on the results in the case study, the proposed method is robust for mitigating downstream environmental impacts and sustaining water supply by the reservoir. RMSE for mesohabitats is 8% that indicates the robustness of proposed method to mitigate environmental impacts at downstream. It seems that providing environmental requirements might reduce the reliability of water supply considerably. Differential evolution algorithm is the best method to optimize reservoir operation in the case study.


Energy ◽  
2018 ◽  
Vol 142 ◽  
pp. 14-32 ◽  
Author(s):  
Yizi Shang ◽  
Shibao Lu ◽  
Yuntao Ye ◽  
Ronghua Liu ◽  
Ling Shang ◽  
...  

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