Abstract
Abstract With the implementation of the most stringent water resources management system and the advancement of the construction process of reservoir terrace basins, the research and application of the theory and method of joint operation of reservoir groups are becoming more and more important. The Differential Evolution Adaptive Metropolis (DREAM) algorithm is a sampling algorithm based on the Markov Chain Monte Carlo method proposed in recent years. The algorithm satisfies ergodicity and is good at handling problems with multivariate nonlinearity, high dimensionality, and multi-peaks, and as such the algorithm is a new global optimization solution. This paper elaborated the solution mechanism of the standard DREAM algorithm, and the algorithm was applied to the optimal operation model of the reservoir group in Jialing River. First, we optimized and analyzed the multi-objective supply operation model of the reservoir group water in Jialing River. Then the multi-attribute decision-making and evaluation index system of water supply operation rules for the reservoir group to assess the optimization of the operation model was adopted. Finally based on the results of the evaluation, the best water supply operation scheme for the reservoir group of Jialing River was selected. The results show that the Baozhusi Reservoir can fully meet the planned water supply requirements in dry years, while the two reservoirs, Shengzhong and Tingzikou, need to be weighed against the evaluation indexes of water supply operation. The research provides a theoretical basis for the DREAM algorithm in the optimal operation of the reservoir group and the actual operation scheme for the reservoir group of Jialing River.
Highlights
China is rich in hydropower resources with great potential for further development
The Differential Evolution Adaptive Metropolis (DREAM) algorithm was applied to research on the multi-objective optimal operation of cascade reservoirs
Comparing with the traditional optimal operation of cascade reservoirs, the DREAM algorithm satisfies ergodicity based on the combination of the adaptive Metropolis algorithm and the differential evolution algorithm, which makes it more suitable for the problems of joint operation of reservoir groups troubled with multi-variable nonlinearity and high dimensionality
Summary
China is rich in hydropower resources with great potential for further development. According to the results of the census of hydropower resources, the theoretical reserves of river hydropower in China are 6.76 × 108 kW, of which 4.93 × 108 kW are technically developable installed capacity and 3.78 × 108 kW are economically developable capacity (Zhao et al ). With the rapid development of society and the economy, almost all large and medium-sized rivers in China have adopted or planned to adopt cascade reservoir development. How to optimize the operation of reservoir groups and increase the utilization rate of hydropower resources is of great significance for realizing the maximization of China’s economic and social benefits and maintaining the sustainable development of the ecological environment
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