A water resource multi-objective balanced scheduling method based on a macroscopic configuration scheme

Abstract

The invention provides a water resource multi-objective balanced scheduling method based on a macroscopic configuration scheme. The method comprises the steps that S1, constructing a water resource macroscopic configuration model, and obtaining the water resource macroscopic configuration scheme; S2, generalizing a water resource multi-objective balanced scheduling system and setting parameters; S3, on the basis of a water resource macroscopic configuration scheme, coupling a time sequence from the perspective of a model calculation time period, and coupling an objective function from the water demand of each water user and the average runoff value of the ecological node in ten-day period; Coupling constraint conditions from the water supply quantity of each water source to the water demand quantity of each water user; S4, constructing a water resource multi-target equalization scheduling model, and solving by adopting a Gaussian optimization chaotic particle swarm algorithm to obtaina multi-target equalization solution; S5, judging whether the multi-target equalization solution meets the optimal equalization solution or not, and not repeating S4; outputting the Optimal solution if so. According to the method, the real-time influence and the pre-event constraint factors in the water resource distribution process can be accurately considered, a more reasonable water resource scheduling scheme is provided for a decision maker, and the maximum water supply benefit is brought into play by utilizing limited water resources.

Description

technical field [0001] The invention belongs to the technical field of water resource configuration and scheduling, and in particular relates to a multi-objective balanced scheduling method for water resources based on a macro configuration scheme. Background technique [0002] Since the 21st century, with the continuous expansion of cities and the continuous improvement of economic conditions, and with the gradual deepening of urban development positioning, the demand for water resources in cities has shown a steady growth to a relatively flat trend. The difference in requirements is becoming more and more obvious, which brings certain challenges to urban water resource allocation. At the same time, in order to alleviate the relatively tense situation of urban water resources, it is particularly necessary to carry out scientific planning and reasonable scheduling of water resources. [0003] Existing water resource scheduling methods are usually based on the premise of wat...

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Problems solved by technology

[0002] Since the 21st century, with the continuous expansion of cities and the continuous improvement of economic conditions, and with the gradual deepening of urban development positioning, the demand for water resources in cities has shown a steady growth to a relatively flat trend. The differences in requirements are becoming more and more obvious, which brings certain challenges to urban water resource allocation.

The necessity of coupling research on water resource allocation and dispatching is as follows: the simulation of rational allocation of water resources is obtained by establishing a reasonable allocation model for long-term operation based on years of historical inflow series and water use data in corresponding years. In the case of water inflow, the dispatching method that should be followed in order to obtain the best benefit of the whole system, under normal circumstances, this configuration model can be used to formulate the annual dispatching operation plan, and the best benefit of the corresponding multi-year series can be obtained. However, the When the configuration model is applied to a specific scheduling period (such as ten days, days, etc.) for scheduling, it may not be able to obtain the best benefit, or even a large deviation. At the same time, this model cannot accurately describe the state of the system in a specific scheduling period. It is impossible to give the scheduling process of a specific time period, so it is necessary to study the optimal scheduling decision of water resources in a specific time period

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