Complex water resource system optimal configuration method based on partition-classification theory

Abstract

The invention discloses a complex water resource system optimal configuration method based on a partitioning-grading theory, and the method comprises the following steps: obtaining the basic information data of a water resource system, and carrying out the generalization of the complex water resource system; then partitioning the whole water resource system according to the water supply relationship among a reservoir, a pump station, a riverway, a water conveying pipeline and a water plant, and establishing a digital matrix of the hydraulic relationship of different partitions; and finally, constructing and solving a multi-stage water resource system optimal configuration model according to the type of the water supply source, and determining a reasonable optimal configuration scheme set.According to the invention, a complex water resource system can be simplified, and a new way is provided for efficient utilization of water resources.

Description

technical field [0001] The invention belongs to the field of water resource allocation, and in particular relates to a complex water resource system optimization allocation method based on the theory of "division-grading". Background technique [0002] In order to solve the shortage of water resources caused by the uneven distribution of water resources in time and space, carrying out research on the optimal allocation of water resources can improve the utilization rate of water resources, which has obvious social and economic benefits. However, with the rapid development of social economy, more and more factors need to be considered in the optimal allocation of water resources, especially for complex water resource systems, in the process of constructing and solving the optimal allocation model, the problem of dimensionality disaster is prone to occur, so it is necessary to The system performs partition processing to achieve effective dimension reduction of the system to im...

AI Technical Summary

Problems solved by technology

However, with the rapid development of social economy, more and more factors need to be considered in the optimal allocation of water resources, especially for complex water resource systems, in the process of constructing and solving the optimal allocation model, the problem of dimensionality disaster is prone to occur, so it is necessary to The system performs partition processing to achieve effective dimension reduction of the system to improve computing efficiency

At the same time, the previous water resources optimal allocation model usually set the maximum total water supply guarantee rate in the whole region as the social benefit goal, and it is difficult to ensure the fairness of water user benefits in each region

In addition, in terms of solving the optimal configuration model, the Gray Wolf Optimization Algorithm (GWO) proposed by Mirjalili et al. (DE) and genetic algorithm (GA) and other optimization algorithms, but there are also defects such as slow convergence speed, weak global search ability, and easy to fall into local optimum.

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