Nested dimension reduction algorithm-based cascade reservoir water-sediment joint optimization scheduling method

Abstract

The invention belongs to the field of reservoir scheduling for beneficial use and sediment accumulation calculation, and particularly relates to a nested dimension reduction algorithm-based cascade reservoir water-sediment joint optimization scheduling method. For the characteristics of multiple stages, multiple targets, long sediment calculation time and the like of cascade reservoir water-sediment joint optimization scheduling, a nested dimension reduction algorithm-based cascade reservoir water-sediment joint optimization scheduling method is proposed for achieving the purposes of reducing calculation dimensions, reducing optimization calculation workload and shortening calculation time; by building a cascade reservoir water-sediment multi-target optimization scheduling model, a non-inferior relationship between power generation and sediment accumulation of a cascade reservoir can be better simulated; and through a successive approximation multi-target dynamic planning iterative algorithm of a nested structure, a one-dimensional sediment calculation model is prevented from being called for multiple times in an optimization process, so that the calculation workload is reduced, the calculation time is saved, and effective analysis and calculation methods are provided for cascade reservoir water-sediment joint optimization scheduling.

Description

technical field [0001] The invention belongs to the fields of reservoir prosperity scheduling and sediment deposition calculation, and in particular relates to a cascade reservoir water-sediment joint optimal scheduling method based on a nested dimensionality reduction algorithm. Background technique [0002] The cascade reservoir water-sediment joint optimization dispatch has the characteristics of nonlinearity, high dimension, multi-objective and multi-constraint, and the calculation of sediment erosion and sedimentation is completely different from the reservoir dispatching calculation, the decision-making period is very different, and the calculation period is long. Therefore, in the cascade reservoir It is very complicated to calculate and solve the sediment erosion and deposition in the optimization process of water-sediment joint optimization dispatching. At present, the research on combined optimal operation of water and sediment of reservoirs mainly focuses on singl...

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Problems solved by technology

Bai Xia, Qi Xiaoming, et al. (2016) took the maximum amount of sediment transport in the river section as the optimization goal, and took flood control, power generation and water consumption as constraints, and established a multi-objective water-sediment joint simulation optimal scheduling model for cascade reservoirs based on a self-iterative simulation optimization algorithm , to systematically analyze the impact of upstream water, water along the Yellow River, water and sediment diversion period, and water level on the comprehensive utilization benefits of Longyangxia-Qingtongxia cascade reservoirs such as sediment transport, power generation, and water supply, but it only affects sediment transport The amount of water is optimized without considering the coordination and equilibrium relationship between this goal and other goals

These achievements mainly study the joint operation of water and sediment in cascade reservoirs from different angles. Due to the complexity of the problem, some technicians simplified the calculation of sediment in the calculation process and used the pre-fitted (semi) empirical relationship to calculate The scouring and silting volume of the river section or the sediment transport volume of the section; some only discuss the sediment deposition corresponding to the water resources optimization scheme, without considering the non-inferiority relationship between water and sediment, or only optimize the sediment transport volume, but not The coordination and equilibrium relationship between this objective and other objectives is not considered, so there is a lack of a mature and effective solution method for cascade reservoir water and sediment optimization scheduling

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