Journal of Yangtze River Scientific Research Institute ›› 2024, Vol. 41 ›› Issue (2): 7-13.DOI: 10.11988/ckyyb.20221303

• Comprehensive Management Of River Basin • Previous Articles     Next Articles

Application of Kriging-based Hydrodynamic Surrogate Model for Optimal Scheduling of Cascade Reservoirs

XU Yang1, LÜ Hao2, LIU Shuai3,4, FANG Wei3,4, QIN Hui3,4   

  1. 1. Three Gorges Cascade Dispatch and Communication Center, Yichang 443000, China;
    2. Power China Huadong Engineering Corporation Limited, Hangzhou 311122, China;
    3. School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology,Wuhan 430074, China;
    4. Hubei Key Laboratory of Digital Valley Science and Technology,Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2022-10-01 Revised:2022-12-08 Online:2024-02-01 Published:2024-02-04

Abstract: To address the time-consuming nature of traditional hydrodynamic model combined with scheduling model, we propose a surrogate model as an approximation to enhance efficiency. The research focuses on the practical scheduling of cascade reservoirs from lower Jinsha River to the Three Gorges. By combining hydrodynamics theory with the Kriging surrogate model, we established a multi-objective dispatching model for a multi-reservoir system, and subsequently solved the model using a multi-objective evolutionary algorithm. Ultimately, we identified the multi-objective Pareto front of the model by adopting the projection pursuit method in decision-making. Research findings demonstrate that the surrogate model exhibits an average simulation error of less than 1.5%, effectively replacing the time-consuming hydrodynamic model while generating a competitive Pareto front and providing reasonable compromise solutions. These outcomes lay a theoretical foundation for advancing the comprehensive benefits of cascade reservoirs.

Key words: multi-objective optimal operation, Kriging model, hydrodynamic model, projection pursuit, cascade reservoirs

CLC Number: 

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