摘要
在我国双碳目标背景下,低碳化用能与能源革命迫在眉睫。在考虑社区综合能源发电商与用户竞价博弈的同时加入阶梯型碳交易机制,可满足经济性与低碳性要求。首先介绍了阶梯型碳交易机制和主从博弈模型,然后建立阶梯型碳交易的主从博弈模型,最后通过实际算例,利用CPLEX求解器和粒子群算法对模型进行求解,验证了在主从博弈模型中合理的引入阶梯型碳交易机制可以有效降低碳排放。上述研究为发电商和用户的低碳经济运行提供了参考。
Under the background of domestic double carbon target,low-carbon energy use and energy revolution is extremely ur-gent.In order to meet the requirements of economy and low carbon,bidding game between the community comprehensive energy gener-ators and users is considered and ladder-type carbon trading is add-ed.Firstly,ladder-type carbon trading and the stackelberg game are introduced.Then,Stackelberg game model under the ladder-type carbon trading is established.Finally,the model is solved by using CPLEX solver and particle swarm optimization algorithm through practical examples.It’s verified that ladder-type carbon trading in the stackelberg game model can effectively reduce car-bon emissions.The above research provides reference for the low-carbon economic operation of power generators and users.
作者
李军
李鑫
LI Jun;LI Xin(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China)
出处
《电力需求侧管理》
2023年第6期28-34,共7页
Power Demand Side Management
基金
江苏省碳达峰碳中和科技创新项目(BE2022003-4)。
关键词
综合能源系统
主从博弈
阶梯型碳交易
粒子群算法
低碳
integrated energy system
Stackelberg game
lad-der-type carbon trading
particle swarm optimization
low carbon
