Reservoir flood control optimized scheduling method capable of influencing implementation according to dynamic reservoir capacity

Abstract

The invention relates to the technical field of reservoir flood control scheduling, and specifically relates to a reservoir flood control optimized scheduling method capable of influencing implementation according to a dynamic reservoir capacity. The reservoir flood control optimized scheduling method capable of influencing implementation according to the dynamic reservoir capacity includes: firstly, establishing a reservoir flood control optimized scheduling model by regarding a maximum peak clipping criterion in flood control scheduling as the optimization criterion and replacing a water balance equation by Saint-Venant equations based on a one-dimensional unsteady flow mathematical model to reflect the influence of water return of a channel type reservoir on flood control and the propagation of flood waves in the reservoir; and then solving the model by employing a dynamic programming direct deduction method according to characteristics of multiple stages, multiple constraints and non-linearity of the reservoir flood control optimized scheduling model and a non-aftereffect requirement, and improving the solving efficiency by employing a parallel technology based on OpenMP. According to the method, effective analysis and calculation methods can be provided for optimized scheduling of flood control of the channel type reservoirs.

Description

technical field [0001] The invention relates to the technical field of reservoir flood control scheduling, in particular to an optimal scheduling method for reservoir flood control implemented according to the influence of dynamic storage capacity. Background technique [0002] Reservoir flood control is an important non-engineering measure to reduce or avoid flood disasters, which is directly related to the safety of reservoir and downstream flood control, and affects water storage at the end of the flood season. At present, reservoir flood control is mainly based on the assumption of static storage capacity, that is, the water level of the reservoir is assumed to be horizontal, and the fluctuation of water level is also horizontal fluctuation, which cannot reflect the impact of dynamic storage capacity caused by backwater. In fact, the water surface of the reservoir is not horizontal, and there is a large difference between the actual storage capacity and the static storag...

AI Technical Summary

Problems solved by technology

At present, the flood control of reservoirs is mainly based on the assumption of static storage capacity, that is, it is assumed that the water level of the reservoir is horizontal, and the fluctuation of water level is also horizontal fluctuation, which cannot reflect the impact of dynamic storage capacity caused by backwater

In fact, the water surface of the reservoir is not horizontal, and there is a large difference between the actual storage capacity and the static storage capacity. The wedge-shaped storage capacity formed above the horizontal level is the dynamic storage capacity. For the channel-type reservoirs in the section of the river, it is often greater than the effect of the static storage capacity below the water level. Therefore, the water level in front of the dam calculated according to the static storage capacity for flood regulation is quite different from the actual water level in front of the dam, which will have a negative impact on the decision-making of flood control during the flood season.

[0003] In addition, after the flood enters the reservoir area, its propagation characteristics are very different from those of the natural river channel. The specific performance is that the flood peak increases, the flood volume is concentrated, and the peak time is advanced. It will also have a certain impact on the operation and scheduling of the reservoir

[0004] Therefore, it is hoped that there will be a reservoir flood control optimization scheduling method based on the influence of dynamic storage capacity to solve the calculation error caused by ignoring the adjustment effect of dynamic storage capacity on flood in the existing technology

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