A method for simulated operation of large-scale reservoir groups in main and tributary streams of a river basin

Abstract

The invention discloses a large-scale reservoir group simulation scheduling method for main and tributary streams in a watershed, and belongs to the field of optimal scheduling of hydropower systems. Including: (1) building a reservoir scheduling function, analyzing the relevant factors affecting the outflow of the reservoir, performing a correlation analysis, and determining the input factors of each reservoir scheduling function; (2) constructing a neural network model according to the input factors of the scheduling function , and use the adaptive moment estimation algorithm to optimize the parameters of the neural network, use the historical operation data of the reservoir to train the constructed neural network, and use the trained neural network as the fitting function of the reservoir scheduling function; (3) according to the The fitting function of the reservoir dispatching function, the spatial topology and the operating constraints of the reservoirs are used to establish a reservoir group simulation dispatching model, and simulate the operation process of the basin reservoir group step by step. The invention significantly improves the fitting precision, and can more accurately describe the operating rules of large-scale reservoir groups in main and tributary streams of the river basin under the condition that the dispatching plan is unknown.

Description

technical field [0001] The invention belongs to the field of optimal dispatching of hydropower systems, and more specifically relates to a method for simulating dispatching of large-scale reservoir groups in main and tributary streams of a river basin. Background technique [0002] With the successive completion and operation of large-scale reservoir groups in the basin, the evolution law of the hydrological process and the spatio-temporal pattern of the basin have changed. They belong to different power generation groups. Under the existing management system, real-time sharing of dispatching operation data cannot be achieved, which adds uncertainty to the formulation of downstream reservoir dispatching plans. Therefore, it is necessary to conduct simulation dispatching research on reservoirs whose dispatching conditions are unknown. [0003] At present, the most commonly used methods for simulating reservoir scheduling operations are scheduling diagrams and scheduling funct...

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Problems solved by technology

[0004] Aiming at the defects of the prior art, the object of the present invention is to provide a large-scale reservoir group simulation scheduling method for main and tributary streams in the basin, which is based on the improved neural network method (Adam-DNN) of adaptive moment estimation to fit the reservoir scheduling function , which aims to solve the problem of traditional neural network falling into local optimal solution and gradient disappearance, and improve the fitting accuracy of scheduling function

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