Aggregation optimization method, device and equipment based on 5G base station energy storage participation demand response, storage medium and program product

By processing the parameters of 5G base station energy storage resources and solving multi-objective optimization models, the charging and discharging strategies are dynamically adjusted, which solves the problem of low resource utilization efficiency in existing technologies and realizes efficient and reliable energy storage management.

CN120657818APending Publication Date: 2025-09-16NATIONAL INSTITUTE OF GUANGDONG ADVANCED ENERGY STORAGE CO LTD
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Patent Information

Application Number
CN202510745395.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-04
Publication Date
2025-09-16

AI Technical Summary

Technical Problem

The existing 5G base station energy storage resource aggregation solution lacks a dynamic coordination mechanism, resulting in inefficient resource utilization and an inability to fully realize the potential value of distributed energy storage.

Method used

By collecting 5G base station parameters, cleaning and interpolation processing are performed, and combining load forecasting and electricity price forecasting models, a multi-objective optimization model is constructed. The alternating direction multiplier method is used to solve the charging and discharging strategy, and dynamic adjustments are made to meet the optimization termination conditions. Battery health feedback information is introduced to optimize energy storage usage.

Benefits of technology

It improves resource utilization efficiency, extends energy storage service life, reduces maintenance costs, improves system reliability, and meets real-time optimization needs.

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Abstract

The invention relates to an aggregation optimization method and device based on 5G base station energy storage participation demand response, equipment, a storage medium and a program product, and relates to the technical field of power energy storage. The method can improve the resource utilization efficiency. The method comprises the following steps: cleaning and interpolating abnormal data in original base station parameters of a 5G base station to obtain target base station parameters; according to the future load curve, the future electricity price sequence and the target base station parameters, obtaining a charging and discharging strategy of the 5G base station; determining power purchase cost, frequency modulation income and loss cost according to the charging and discharging strategy, and constructing a multi-target optimization model based on the power purchase cost, the frequency modulation income and the loss cost; and determining a target problem in the multi-target optimization model, solving the target problem through an alternating direction multiplier method to obtain an optimal solution, dynamically adjusting a charging and discharging strategy according to the optimal solution and battery health degree feedback information of the 5G base station, and if the adjusted charging and discharging strategy meets an optimization termination condition, executing optimization result output.
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