Pump station optimization method based on artificial fish swarm algorithm

Abstract

The invention belongs to the technical field of water conservancy information, and particularly relates to a pump station optimization method based on an artificial fish swarm algorithm. According tothe technical scheme, a pump station optimization method based on an artificial fish swarm algorithm is provided. Based on the method, the pump station optimal scheduling can be rapidly, effectively and accurately carried out and the efficient utilization of water resources is promoted. The technical scheme adopted by the invention is as follows: S101, initializing system parameters; S102, initializing a fish school in a variable allowable range, and calculating the objective function value of each artificial fish; S103, carrying out iterative optimization, performing the clustering behavior and the rear-end collision behavior on artificial fishes respectively, comparing the function values of the above two behaviors, selecting the behavior with the larger function value, and executing theselected behavior; S104, judging whether the number of iterations reaches a maximum allowable iteration times or not; if yes, stopping the iteration operation and outputting the maximum function value; otherwise, continuing the iteration operation. The method is suitable for the field of water conservancy.

Description

technical field [0001] The invention belongs to the technical field of water conservancy information, and in particular relates to a pumping station optimization method based on an artificial fish swarm algorithm. Background technique [0002] The research on joint scheduling of pumping stations in my country's water conservancy system has always been a key issue in strengthening the efficient use of water resources and water environment protection. For example, China's large-scale water conservancy project, the South-to-North Water Diversion East Route Project, has been completed and put into operation. The East Route Project involves the scheduling of multi-stage pumping stations. At present, the cascade pumping stations on the eastern route of the South-to-North Water Diversion Project lack scientific and effective control and management. They mainly rely on human experience and simple technical indicators to roughly control the operation of the pumping stations. The pum...

AI Technical Summary

Problems solved by technology

However, with its development and application, some shortcomings have also been discovered: the blindness of the algorithm search is relatively large in the later stage, and the algorithm optimization process becomes complicated and the accuracy is not high due to the fixed field of view and step size.

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