A modified approach for deriving storage operating rules of the Three Gorges reservoir with artificial neural network

作者：Liu Pan; Guo Shenglian; Pang Bo; Wang Caijun; Zhang Honggang

来源：Journal of Hydroelectric Engineering, 2006, 25(2): 83-89.

Based upon artificial neural network (ANN), a modified approach for deriving storage operating rules of the Three Gorges Reservoir (TGR) during 2007-2009 is presented in this paper. After the optimal training data set is generated by using the dynamic programming (DP) model, two schemes of approach for training the ANN are adopted. The first scheme (classical scheme) is trained by back propagation (BP) algorithm, the second one (modified scheme) refines the reservoir operating rules by setting the objective as maximization of the energy after BP training. The results show that the classical scheme can fit the optimal data better, but its yield (hydropower generation and storage probability) is less than the modified one. By analysis, the conclusions are drawn that the objective function of ANN approach for operating rules should be to maximize the benefits rather than to fit the optimal data set.

• 出版日期2006