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

XU Yang; L&#xDC; Hao; LIU Shuai; FANG Wei; QIN Hui

doi:10.11988/ckyyb.20221303

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

Comprehensive Management Of River Basin

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

XU Yang¹, LÜ Hao², LIU Shuai^3,4, FANG Wei^3,4, QIN Hui^3,4

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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

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XU Yang, LÜ Hao, LIU Shuai, FANG Wei, QIN Hui. Application of Kriging-based Hydrodynamic Surrogate Model for Optimal Scheduling of Cascade Reservoirs[J]. Journal of Changjiang River Scientific Research Institute. 2024, 41(2): 7-13 https://doi.org/10.11988/ckyyb.20221303

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