Dataset for reservoir impoundment operation coupling parallel dynamic programming with importance sampling and successive approximation

被引:4
作者
He, Shaokun [1 ]
Guo, Shenglian [1 ]
Chen, Kebing [1 ]
Deng, Lele [1 ]
Liao, Zhen [1 ]
Xiong, Feng [1 ]
Yin, Jiabo [1 ]
机构
[1] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Cascade reservoirs; Impoundment operation; Yangtze river basin; Streamflow observation; Parallel dynamic programming; Importance sampling; Seasonal top of buffer pools;
D O I
10.1016/j.dib.2019.104440
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The dataset contains reservoir characteristic parameters, stream-flow series of reservoirs in the upper Yangtze River, the standard operating rules (SORs) and the seasonal top of buffer pools (seasonal TBPs) for these reservoirs, which were provided by the Yangtze River Commission. Moreover, annual hydropower of these reservoirs is tested to evaluate operation performance. These research materials are related to the research article in Advances in Water Resources, entitled 'Optimal impoundment operation for cascade reservoirs coupling parallel dynamic programming with importance sampling and successive approximation' (He et al., 2019). The dataset could be used to derive optimal operating rules to explore the potential benefits of water resources via our proposed algorithm (importance sampling - parallel dynamic programming, IS-PDP) in different runoff scenarios. It can also be further applied for water resources management and other potential users. (C) 2019 The Authors. Published by Elsevier Inc.
引用
收藏
页数:7
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