电力系统保护与控制2025，Vol.53Issue(11)：72-83,12.DOI:10.19783/j.cnki.pspc.240604
基于数字孪生模型的主从博弈掺氢综合能源系统最优决策方法
Optimal decision-making method for hydrogen-blended integrated energy system based on digital twin models and Stackelberg game theory
摘要
Abstract
A digital twin model of an integrated energy system(IES)is established,incorporating an integrated energy system operator(IESO),an energy supplier(ES)equipped with carbon capture system(CCS),and a load aggregator(LA)that considers demand response.First,the IES system model is constructed,with tailored constraints for different system components and the introduction of a penalty mechanism for wind and solar curtailment.Then,an IES distributed cooperative optimal operation strategy based on a leader-follower(Stackelberg)game is adopted,and the strategy is solved by combining genetic algorithm and quadratic programming algorithm to obtain the optimal IES scheduling scheme.In this game theory framework,IESO acts as the lead player,while the CCS-based ES and the demand response LA act as followers,jointly optimize the IESO's pricing strategy,ES contribution plan,and user demand schedules.Real-time IES data is obtained by the digital twin system.After the data of different dimensions and formats are processed and analyzed in a unified manner,the proposed method is used to optimize the IES optimal decision scheme.Finally,by using the digital twin model to obtain the basic operation data,simulation experiments based on the extended IEEE 39-node system and 6-node heating system yield IESO optimal price strategy,ES optimal output plan,and LA optimal energy use plan,leading to more economical energy supply and more rational energy consumption.The leader-follower game-based decision-making method based on a digital twin model,allows the power grid to move beyond heavy reliance on historical data,reduces extrapolation errors in decision-making,and enables a technical upgrade in IES optimization strategies.关键词
综合能源系统/主从博弈/数字孪生/碳捕集系统/需求侧响应Key words
integrated energy system/Stackelberg game/digital twin/carbon capture system/demand response引用本文复制引用
蒋炜,郭志民,庞宇航,张彤彤,王亚男,赵健,丁慧霞,王心妍..基于数字孪生模型的主从博弈掺氢综合能源系统最优决策方法[J].电力系统保护与控制,2025,53(11):72-83,12.基金项目
This work is supported by the Science and Technology Project of State Grid Corporation of China(No.5700-202224202A-1-1-ZN). 国家电网有限公司科技项目资助(5700-202224202A-1-1-ZN)"面向县域能源互联网高效协同的数字孪生化管理及互动技术研究" （No.5700-202224202A-1-1-ZN）
