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

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...

AI Technical Summary

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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