基于年径流分类水库优化调度函数研究.pdfVIP

Journal of Water Resources Research 水资源研究, 2016, 5(6), 573-582 Published Online December 2016 in Hans. /journal/jwrr /10.12677/jwrr.2016.56066 Reservoir Optimal Operation Function Based on Annual Runoff Classification Kebing Chen1,2, Shenglian Guo1,2, Guang Yang1,2, Jiabo Yin1,2, Yixuan Zhong1,2 1 State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan Hubei 2 Hubei Provincial Collaborative Innovation Center for Water Resource Security, Wuhan Hubei nd th rd Received: Dec. 2 , 2016; accepted: Dec. 20 , 2016; published: Dec. 23 , 2016 Copyright © 2016 by authors and Hans Publishers Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). /licenses/by/4.0/ Open Access Abstract The traditional reservoir operation function is generally to maximize the long-term average power gen- eration, the guarantee rate and other indicators as the objective function. The connotation is that the av- erage expected benefit of the reservoir is maximized for long time series, but does not consider the vari- ation of annual runoff. It is obvious that the optimal operation function of the reservoir is related to the abundance of runoff that is quite different between the wet and dry years. In order to study the effect of annual runoff classification on reservoir operation function, a multi-objective operation model consi- dering power generation and guarantee rate was established. The NSGA-II algorithm was used to optim- ize the operation function of Ankang reservoir. The results show that the runoff classification method is better than the long series optimization method. The largest non-inferior power generation solution can increase 0.71% power generation and 4.56% guarantee rate. The largest non-inferior guarantee rate solution can increase 1.3