A microgrid economic optimization scheduling method based on master-slave game theory and containing 5G base station energy storage

By adopting a microgrid economic optimization scheduling method based on master-slave game theory, the economic scheduling problem after 5G base station energy storage is connected to the integrated energy microgrid is solved, achieving a win-win situation for users and 5G base stations, optimizing energy utilization and costs, and reducing the leading position of microgrid operators.

CN118551976BActive Publication Date: 2026-07-24STATE GRID FUJIAN ELECTRIC POWER CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID FUJIAN ELECTRIC POWER CO LTD
Filing Date
2024-05-23
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

How can we construct an economically optimized scheduling model after 5G base station energy storage is integrated into a comprehensive energy microgrid to effectively utilize idle energy storage resources, balance the interests of all three parties, reduce the leading role of the microgrid operator, and achieve a win-win situation for both users and 5G base stations?

Method used

A microgrid economic optimization scheduling model is constructed using a master-slave game theory approach. By collecting parameters, a battery energy storage scheduling model is established to optimize electricity and heat prices. Combining user-side electricity and heat demand response and energy storage mechanisms, a genetic algorithm and Cplex solver are used for optimization. A Stackelberg game model is constructed to achieve coordination of interests between users and microgrid operators.

Benefits of technology

It improves the flexibility of user electrical and thermal regulation, achieves a win-win situation for both users and 5G base stations, reduces the leadership position of microgrid operators, provides an important decision-making reference, and optimizes energy utilization efficiency and cost.

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Abstract

The present application relates to a kind of microgrid economic optimization scheduling method based on master-slave game theory containing 5G base station energy storage.It includes: collecting and obtaining the parameters of each element in community type micro energy network and the pricing strategy of microgrid operator's electricity and heat;Establish a battery energy storage scheduling model;Respectively, establish optimization model at microgrid operator side and user side;Analysis of the game relationship between microgrid operator and user, especially focus on the pricing strategy of electricity and heat, and the demand response of user side, electric heating and energy storage mechanism, use genetic algorithm and Cplex12.10 solver to solve the optimization problem of user.This application aims to solve the key technical problems in 5G base station energy storage and microgrid operation, such as reasonable pricing of electricity and heat, effective satisfaction of user side demand and optimal use of battery energy storage.Through this application, the balance of interests between microgrid operator and user can be achieved, the economic benefit of 5G base station can be improved, and the efficient and economic operation of microgrid can be promoted.
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