Hydro-informatics Group, IHE Delft Institute for Water Education, Delft, the Netherlands
Water Resources Sect., Delft Univ. Technol., Delft, the Netherlands
Abstract. Joint and optimal impoundment operation of the large-scale reservoir system has become more crucial for modern water management. Since the existing techniques fail to optimize the large-scale multi-objective impoundment operation due to the complex inflow stochasticity and high dimensionality, we develop a novel combination of parameter simulation optimization and classification-aggregation-decomposition approach here to overcome these obstacles. There are four main steps involved in our proposed framework: (1) reservoirs classification based on geographical location and flood prevention targets; (2) assumption of a hypothetical single reservoir in the same pool; (3) the derivation of the initial impoundment policies by the non-dominated sorting genetic algorithm-II (NSGA-II); (4) further improvement of the impoundment policies via Parallel Progressive Optimization Algorithm (PPOA). The framework potential is performed on China's mixed 30-reservoir system in the upper Yangtze River. Results indicate that our method can provide a series of schemes to refer to different flood event scenarios. The best scheme outperforms the conventional operating rule, as it increases impoundment efficiency from 89.50 % to 94.16 % and hydropower generation by 7.70 billion kWh (or increase 3.79 %) while flood control risk is less than 0.06.
How to cite. He, S., Guo, S., Xu, C.-Y., Chen, K., Liao, Z., Deng, L., Ba, H., and Solomatine, D.: A novel framework of deriving joint impoundment rules for large-scale reservoir system based on a classification-aggregation-decomposition approach, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2019-586, 2020.
Received: 31 Oct 2019 – Discussion started: 17 Mar 2020
Aiming at cascade impoundment operation, we develop a classification-aggregation-decomposition method to overcome the curse of dimensionality and inflow stochasticity problem. It is tested with a mixed 30-reservoir system in China. The results show that our method can provide lots of schemes to refer to different flood event scenarios. The best scheme outperforms the conventional operating rule, as it increases impoundment efficiency and hydropower generation while flood control risk is less.
Aiming at cascade impoundment operation, we develop a classification-aggregation-decomposition...