基于主从博弈的园区级综合能源系统动态定价与低碳经济调度  

Dynamic Pricing and Low-carbon Economic Dispatch of Integrated Energy System Based on Stackelberg Game

作　　者：刘铠诚 王关涛 白星振 原希尧 葛磊蛟[3] 朱若源 LIU Kaicheng;WANG Guantao;BAI Xingzhen;YUAN Xiyao;GE Leijiao;ZHU Ruoyuan(State Key Laboratory of Power Grid Safety and Energy Conservation,China Electric Power Research Institute,Beijing 100192,China;School of Electrical and Automation Engineering,Shandong University of Science and Technology,Qingdao 266590,China;Key Laboratory of Smart Grid of Ministry of Education,Tianjin University,Tianjin 300072,China)

机构地区：[1]电网安全与节能国家重点实验室(中国电力科学研究院有限公司),北京100192 [2]山东科技大学电气与自动化工程学院,青岛266590 [3]天津大学智能电网教育部重点实验室,天津300072

出　　处：《高电压技术》2024年第4期1436-1445,I0012,I0013,共12页High Voltage Engineering

基　　金：国家自然科学基金(51937005);国家重点研发计划(SQ2022AAA0101159);电网安全与节能国家重点实验室开放基金(YDB51202201356)。

摘　　要：面向园区综合能源系统中供能方与用能方的角色互换,以及园区低碳经济运行的强约束,提出了一种考虑动态参数的阶梯型碳交易机制和需求响应的园区级综合能源系统主从博弈优化调度方法。首先,将园区级综合能源系统中能源运营商(energy system operator,ESO)设定为上层领导者、综合能源系统园区设定为下层跟随者,并且能源运营商以最大化自身效益为目标,通过制定与园区间的购售电价格、碳交易基价、价格增长幅度,引导下层园区优化;下层园区以最小化其运行成本为目标,对上层发布的价格信息做出反应,从而构建主从博弈模型。其次,充分考虑园区级综合能源系统的低碳经济运行约束,在博弈模型中引入考虑动态参数的阶梯型碳交易机制以限制二氧化碳排放量,并在园区侧引入需求响应。最后,利用水母搜索算法对上层发布的购售电价、碳交易基价、价格增长幅度进行优化,利用CPLEX优化下层园区设备出力、需求响应以及购售电计划。仿真结果证明了所提模型和方法的有效性。Aiming at the role exchange between the energy supplier and the energy user in the park integrated energy system,and the strong constraints of the park’s low-carbon economic operation,we propose a hierarchical carbon trading mechanism considering dynamic parameters and a master-slave game optimization scheduling method for the park integrated energy system.First of all,the energy system operator(ESO)in the integrated energy system at the park level is set as the top leader and the integrated energy system parks are set as the bottom followers.The energy operators aim to maximize their own benefits,and guide the optimization of the lower level parks by setting the purchase and sale price,the carbon trading base price,and the price growth rate between the parks.The lower level parks respond to the price information released by the upper level with the goal of minimizing their operating costs;thus,the master-slave game model is constructed.Secondly,the low carbon economic operation constraints of the park level integrated energy system are fully taken into consideration,a ladder carbon trading mechanism is introduced after considering dynamic parameters into the game model to limit carbon dioxide emissions,and the demand response is introduced at the park side.Finally,the jellyfish search algorithm is used to optimize the purchase and sale electricity price,carbon trading base price and price growth rate published by the upper level,and CPLEX is used to optimize the equipment output,demand response,and purchase and sale plan of the lower level park.The simulation results show the effectiveness of the proposed model and method。

关 键 词：主从博弈 阶梯型碳交易机制 需求响应 水母搜索算法 碳交易基价 价格增长幅度 

分 类 号：TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]