A Method for Extracting Reservoir Phased Dispatch Rules

Abstract

The invention discloses a method for extracting staged scheduling rules of reservoirs based on GRA and PSO-SVM. The steps are as follows: on the basis of historical actual scheduling results, first determine decision variables and impact factor attribute sets, and filter staged impact factors based on GRA; determine training Based on the sample data, build a PSO-SVM simulation model, use PSO to calibrate and verify the parameters of the SVM model; determine the staged operation rules of the reservoir. The invention can better inherit the comprehensive benefits in the actual dispatching process, realize the purpose of guiding the actual operation of the reservoir under the premise of uncertain incoming water, and provide theoretical basis and scientific support for the actual operation of the reservoir.

Description

technical field [0001] The invention belongs to the technical field of reservoir dispatching in the field of water conservancy and hydropower, in particular to a method for extracting reservoir staged dispatching rules based on the combination of GRA and PSO-SVM. Background technique [0002] At present, the actual operation of reservoirs is still based on past experience. How to extract reservoir operation rules from actual operation experience is an important direction of research on reservoir operation and operation. The scheduling function is one of the manifestations of the current reservoir scheduling rules. Scheduling function extraction methods mainly include statistical regression method and intelligent algorithm. However, at present, most of the scheduling function studies have not carried out the screening operation of influencing factors, and so far, the research on the selection method of influencing factors is still in its infancy. There are many influencing ...

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Problems solved by technology

[0003] Purpose of the invention: Aiming at the problems existing in the prior art, the present invention provides a method for extracting staged scheduling rules of reservoirs based on the combination of GRA and PSO-SVM, which solves the problem of low simulation efficiency due to the fact that most of the research on scheduling rules does not carry out screening operations of influencing factors At the same time, based on PSO-SVM, it provides a high-precision reservoir scheduling function, providing theoretical basis and scientific support for the actual operation of hydropower stations

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