Method for Identifying Schedulable Flexible Resources Based on Grey Relational Theory, Storage Medium

By applying gray correlation theory to quantitatively analyze the impact of dispatchable flexible resources, the problem of failure to fully consider the impact of flexible load in existing power system planning is solved, and efficient decision-making and operation optimization of power grid planning is achieved.

CN114547821BActive Publication Date: 2025-06-27ECONOMIC TECH RES INST OF STATE GRID ANHUI ELECTRIC POWER
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Patent Information

Application Number
CN202210181412.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-02-25
Publication Date
2025-06-27
Estimated Expiration
2042-02-25

AI Technical Summary

Technical Problem

The existing power system planning fails to fully consider the impact of a wide variety of flexible loads on power grid planning, resulting in increased difficulty in optimizing power grid operation control.

Method used

Using a method based on gray correlation theory, the impact of dispatchable flexible resources (such as load reduction, energy storage, microgrid, dispatchable new energy and electric vehicles) on power grid planning is quantitatively analyzed. By establishing a mathematical model, setting the objective function and constraint function, randomly generating multiple sets of configuration data, and using the entropy weight method for weighting analysis, the weighted comprehensive correlation degree of each flexible resource is calculated.

Benefits of technology

Accurate quantitative analysis of the impact of dispatchable flexible resources on grid planning is achieved, the efficiency of grid planning and the accuracy of decision-making is improved, the economic cost of grid operation is reduced and the reliability is improved.

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Abstract

A method and storage medium for identifying schedulable flexible resources based on the grey correlation theory according to the present invention include establishing a power grid topological network structure according to the scale of the distribution network in the analysis area, selecting various schedulable flexible resources in the distribution network, and establishing a mathematical model; setting a system objective function and constraint functions, and generating an optimal unit output combination for realizing the coordinated optimization of robustness and economy; randomly generating configuration data of the schedulable flexible resources, substituting them into the objective function to calculate various costs and forming multiple groups of data; calculating the correlation degrees of multi-scenario data by using the grey correlation theory based on the entropy weight method to obtain the weighted comprehensive correlation degrees of each schedulable flexible resource; and the sorting result of the magnitudes of the weighted comprehensive correlation degrees is the influence degree of the schedulable flexible resources on the power grid planning. The present invention overcomes the problem of identifying the influence of schedulable flexible resources in the current power system planning, and improves the accuracy and efficiency of power system planning decisions.
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