Multi-objective optimal operation of reservoir group in Jialing River based on DREAM algorithm

• Published in: Water science & technology. Water supply Vol. 21; no. 5; pp. 2518 - 2531
• Main Authors: Diao, Wei, Peng, Peiyi, Zhang, Chunze, Yang, Shuqing, Zhang, Xujin
• Format: Journal Article
• Language: English
• Published: London IWA Publishing 01.08.2021
• Subjects: Adaptive algorithms; Adaptive sampling; Algorithms; Decision making; dream algorithm; Efficiency; Evaluation; Evolutionary algorithms; Evolutionary computation; Global optimization; Hydroelectric power; Markov analysis; Markov chains; Methods; Monte Carlo simulation; multi-objective optimal; Multiple objective analysis; Nonlinear systems; Nonlinearity; Optimization; Probability distribution; Random variables; Reservoir construction; reservoir group of jialing river; Reservoir operation; Reservoirs; Rivers; Scheduling; Statistical methods; Terraces; Water resources; Water resources management; Water shortages; Water supply; China; Yangtze River
• ISSN: 1606-9749; 1607-0798
• DOI: 10.2166/ws.2021.064

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.