Water Resources Optimal Allocation Based on Large-scale Reservoirs in the Upper Reaches of Yangtze River

With population growth and economic development, the conflict between supply and demand of water resources is becoming more serious in recent years. In order to alleviate basin water shortage, a novel water resources allocation model which employs large-scale reservoirs to optimize water supply process is proposed in this paper. The proposed model has two conflicting objectives that are the minimization of the total water supply shortfall and the maximization of the total power generation. Because of the huge system scale and numerous constraints, water resources optimal allocation (WROA) is a high dimensional, coupled and nonlinear problem. An improved hybrid optimal method which combines decomposition coordination (DC) and discrete differential dynamic programming (DDDP) is developed to optimize the complex problem. An adaptive bias corridor technology is presented to improve convergence speed during subsystem optimization. Finally, the proposed optimal model and the hybrid method are applied to the water resources allocation in the upper reaches of Yangtze River. The results indicate that the proposed model not only can reduce the total water supply shortfall effectively but also can improve the total power generation.