考虑风光不确定与碳交易的区域综合能源系统双层博弈优化运行

Two-level Game Optimal Operation of Regional Integrated Energy System Considering Wind and Solar Uncertainty and Carbon Trading

随着“双碳”目标的提出,多能源交互和新能源消纳的区域综合能源系统(region integrated energy system,RIES)成为研究热点。为兼顾RIES中各主体利益,文中提出一种考虑风光不确定和碳交易的RIES双层博弈优化运行策略。首先,基于多智能体技术,建立以能源销售代理商(energy sales agent,ESA)、能源运营代理商(energy operation agent,EOA)和用户代理商(energy use agent,EUA)为主体的双层多智能体系统模型;其次,针对风光出力不确定性,采用蒙特卡洛法进行随机场景生成并通过k-means聚类和同步回代消除技术进行场景削减;然后,在考虑源侧各主体运行收益、碳交易成本以及负荷侧综合需求响应基础上,搭建纵向Stackelberg博弈嵌套横向EOA非合作博弈竞价的双层博弈框架并证明Nash均衡;最后,利用改进双变异差分进化算法结合YALMIP工具箱和商业软件CPLEX在MATLAB中进行仿真分析,算例结果表明所提优化策略可有效实现各主体利益提升的同时减少弃风光率和碳排放量。

With the proposal of emission peak and carbon neutrality,the region integrated energy system(RIES),which can realize the multi-energy interaction and the clean energy consumption,has become a research hotspot.To take into account the interests of different subjects in this system,this paper proposes a two-level game optimal operation strategy of the RIES considering the wind and solar uncertainty and the carbon trading.Firstly,a two-layer multi-agent system model with the energy sales agent(ESA),the energy operation agent(EOA)and the energy use agent(EUA)as the main body is established.Secondly,the Monte Carlo method is used to generate the random scenes and the scene reduction is carried out by the k-means clustering method and the pre-generation elimination technology for the uncertainty of the wind and solar output.Then,considering the operating income and the carbon trading cost of each agent on the source side and the comprehensive demand response on the load side,a two-level game framework of the vertical Stackelberg game nested with the horizontal EOA non-cooperative game bidding is constructed and its Nash equilibrium is proved.Finally,the improved double mutation differential evolution algorithm combined with the YALMIP toolbox and the commercial software CPLEX is used for the simulation analysis in the MATLAB.The results of the example show that the optimal strategy proposed in this paper is effective,which is able to improve the interests of each subject and reduce the rate of the abandoned wind and solar power and the carbon emissions.