Optimal dispatching of cascade hydropower station group by stage-by-stage reverse learning and dimensionality reduction optimization method

A technology for cascade hydropower station cluster and optimization scheduling, applied in data processing applications, forecasting, instruments, etc., can solve problems such as high computational overhead and dimensionality disaster, and achieve the effects of easy operation, intuitive and simple methods, and reduced computational complexity.

Active Publication Date: 2022-06-03
CHANGJIANG SURVEY PLANNING DESIGN & RES
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Problems solved by technology

Although these methods have been widely used in the field of optimal dispatching of hydropower station groups, they still have defects such as premature convergence, high computational cost, and dimensionality disaster when dealing with large-scale hydropower station group optimal dispatching problems.

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  • Optimal dispatching of cascade hydropower station group by stage-by-stage reverse learning and dimensionality reduction optimization method
  • Optimal dispatching of cascade hydropower station group by stage-by-stage reverse learning and dimensionality reduction optimization method
  • Optimal dispatching of cascade hydropower station group by stage-by-stage reverse learning and dimensionality reduction optimization method

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Embodiment Construction

[0029] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0030] like figure 1 As shown in the figure, a step-by-step reverse learning dimensionality reduction optimization method for optimal scheduling of cascade hydropower station groups includes the following steps:

[0031] 1) Determine the initial calculation conditions, including the objective function, constraint conditions and decision variables of the optimal scheduling of cascade hydropower stations. The optimal scheduling model of cascade hydropower stations can be described as: the initial water level, final water level and inflow process of each reservoir during the scheduling period are known; In the interval runoff process, under the condition of satisfying various complex constraints such as the corresponding water level, flow, and output of the hydropower station group, by determining the optimal stage water level operation pr...

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Abstract

The present invention relates to the technical field of high-efficiency utilization of water resources and optimal scheduling of hydropower, and discloses a step-by-stage reverse learning dimension reduction optimization method for optimal scheduling of cascade hydropower station groups. First, the initial scheduling state process and discrete step length of each hydropower station are calculated; In each stage of the calculation, on the upper and lower sides of the initial state combination, the number of discrete states on the upper and lower sides is randomly generated and combined to form a corridor. Based on the upper and lower boundaries of the corridor, the reverse state combination of the initial state is calculated Perform iterative optimization to obtain an improved scheduling process; repeat the above process until all stages are calculated; finally shrink the discrete step length, iterate repeatedly until convergence, thereby approaching the global optimal solution, and output the optimal scheduling process. The method for optimal dispatching of cascade hydropower station groups of the present invention reversely learns dimensionality reduction optimization method step by step, effectively reduces computational complexity, greatly improves computational efficiency, and is suitable for optimal dispatching of large-scale cascade hydropower station groups.

Description

technical field [0001] The invention relates to the technical field of efficient utilization of water resources and hydropower optimal scheduling, in particular to a step-by-step reverse learning dimension reduction optimization method for optimal scheduling of cascade hydropower station groups. Background technique [0002] In recent years, with the rapid development and rapid and orderly advancement of my country's water conservancy and hydropower undertakings, the scale of hydropower stations has increased day by day, especially in the hydropower bases in the Jinsha River, Yalong River, Wujiang and other super-large basins, forming an unprecedented ultra-large-scale hydropower system in the world. . The optimal dispatch of cascade hydropower stations has significant comprehensive benefits in social, economic and ecological aspects. It can not only effectively promote the efficient utilization of water resources in the basin, but also improve the dispatch management level o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G06K9/62
CPCG06Q10/04G06Q50/06G06F18/213G06F18/214Y04S10/50
Inventor 邹强饶光辉何小聪喻杉柳林云胡学东
Owner CHANGJIANG SURVEY PLANNING DESIGN & RES
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