李健,张诤杰,杜龙,樊贝,王源浩,周霞
LI Jian,ZHANG Zhengjie,DU Long,FAN Bei,WANG Yuanhao,ZHOU Xia

• 1:国网江苏省电力有限公司宿迁供电分公司
• 2:国网江苏省电力有限公司沭阳县供电分公司
• 3:南京邮电大学自动化学院
• 4:南京邮电大学碳中和先进技术研究院

摘要(Abstract)：

随着大量的分布式能源以虚拟电厂聚合主体的形式参与到电力交易市场、碳交易市场和绿色证书交易市场中，多个虚拟电厂参与联合市场的协调优化调度成为亟需关注的问题。为此，研究了多市场联合运行机制，设计了一种“电-碳-绿”联合交易市场框架，在此基础上提出一种基于动态演化博弈的多虚拟电厂优化调度模型，并且构造算例对多个虚拟电厂间的协调调度与合作演化策略进行仿真，同时对比不同碳配额任务下虚拟电厂合作模式的变化情况。仿真结果证明了模型的有效性，所提出的演化策略能够平衡多虚拟电厂间的利益冲突，提高各虚拟电厂参与市场交易的积极性。
With the integration of a large number of distributed energy resources participating in the electricity, carbon, and green certificate trading markets through the form of virtual power plants(VPPs), the coordinated optimization dispatch among multiple VPPs in these joint markets has garnered significant attention. As a result, a joint operation mechanism across multiple markets has been studied, and a joint trading framework for electricity, carbon, and green certificate markets has been designed. An optimal dispatch model based on dynamic evolutionary game theory has been proposed for multiple VPPs. By constructing practical examples, the simulation of cooperative evolution strategy and coordinated dispatch among multiple VPPs is performed, and the changing cooperative patterns of VPPs under different carbon allowances are compared. The simulation results validate the efficacy of the proposed model. The proposed strategy manages to balance the competing interests among VPPs, thereby enhancing their participation and enthusiasm in market trading.

关键词(KeyWords)： 虚拟电厂;演化博弈;碳交易市场;绿色证书交易市场
VPP;evolutionary game;carbon trading market;green certificate trading market

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（61933005）

作者(Author): 李健,张诤杰,杜龙,樊贝,王源浩,周霞
LI Jian,ZHANG Zhengjie,DU Long,FAN Bei,WANG Yuanhao,ZHOU Xia

DOI: 10.19585/j.zjdl.202502006

参考文献(References)：

• [1]宋永华，包铭磊，丁一，等.新电改下我国电力现货市场建设关键要点综述及相关建议[J].中国电机工程学报，2020,40(10):3172-3187.SONG Yonghua,BAO Minglei,DING Yi,et al.Review of Chinese electricity spot market key issues and its suggestions under the new round of Chinese power system reform[J].Proceedings of the CSEE,2020,40(10):3172-3187.
• [2]李淑静，谭清坤，张煜，等.虚拟电厂关键技术及参与电力市场模式设计研究[J].电测与仪表，2022,59(12):33-40.LI Shujing,TAN Qingkun,ZHANG Yu,et al. Research on key technologies of virtual power plant and its participation in power market model design[J].Electrical Measurement&Instrumentation,2022,59(12):33-40.
• [3]魏向向，杨德昌，叶斌.能源互联网中虚拟电厂的运行模式及启示[J].电力建设，2016,37(4):1-9.WEI Xiangxiang,YANG Dechang,YE Bin. Operation mode of virtual power plant in energy Internet and its enlightenment[J].Electric Power Construction,2016,37(4):1-9.
• [4]许星原，陈皓勇，黄宇翔，等.虚拟电厂市场化交易中的挑战、策略与关键技术[J].发电技术，2023,44(6):745-757.XU Xingyuan,CHEN Haoyong,HUANG Yuxiang,et al.Challenges,strategies and key technologies for virtual power plants in market trading[J]. Power Generation Technology,2023,44(6):745-757.
• [5] WANG S Y,WU W C. Aggregate flexibility of virtual power plants with temporal coupling constraints[J].IEEE Transactions on Smart Grid,2021,12(6):5043-5051.
• [6] ZHAO H T,WANG B,WANG X Y,et al. Active dynamic aggregation model for distributed integrated energy system as virtual power plant[J]. Journal of Modern Power Systems and Clean Energy,2020,8(5):831-840.
• [7]贾晓强，杨永标，杜姣，等.气候变化条件下基于智能预测模型的虚拟电厂不确定性运行优化研究[J].发电技术，2023,44(6):790-799.JIA Xiaoqiang,YANG Yongbiao,DU Jiao,et al.Study on uncertainty operation optimization of virtual power plant based on intelligent prediction model under climate change[J].Power Generation Technology,2023,44(6):790-799.
• [8]高鹏，王雨晴，闫家豪.基于CRPS的整县光伏虚拟电厂动态电价机制研究[J].智慧电力，2023,51(9):16-21.GAO Peng,WANG Yuqing,YAN Jiahao.Dynamic pricing mechanism of county photovoltaic virtual power plant based on CRPS[J].Smart Power,2023,51(9):16-21.
• [9]王晛，张华君，张少华.风电和电动汽车组成虚拟电厂参与电力市场的博弈模型[J].电力系统自动化，2019,43(3):155-162.WANG Xian,ZHANG Huajun,ZHANG Shaohua.Game model of electricity market involving virtual power plant composed of wind power and electric vehicles[J].Automation of Electric Power Systems,2019,43(3):155-162.
• [10]朱婵霞，奚巍民，陈倩，等.新型电力系统下可再生能源如何参与电力市场[J].中国电力企业管理，2023(1):59-62.ZHU Chanxia,XI Weimin,CHEN Qian,et al.How can renewable energy participate in the power market under the new power system[J]. China Power Enterprise Management,2023(1):59-62.
• [11]张敏慧，李晓露，柳劲松，等.计及有限理性的多微电网电能交易策略[J].浙江电力，2024,43(1):45-56.ZHANG Minhui,LI Xiaolu,LIU Jinsong,et al.A strategy for electricity trading among multiple microgrids considering bounded rationality[J].Zhejiang Electric Power,2024,43(1):45-56.
• [12]加鹤萍，郭宇辰，余涛，等.考虑出力偏差与风险控制的虚拟电厂收益分配策略[J].电力建设，2024,45(6):27-36.JIA Heping,GUO Yuchen,YU Tao,et al.Profit distribution strategy of virtual power plants considering output deviation and risk control[J]. Electric Power Construction,2024,45(6):27-36.
• [13]高璐瑶，李华强，臧天磊，等.配电网下多虚拟电厂间计及过网费的端对端电能交易方法[J].电力建设，2024,45(9):164-177.GAO Luyao,LI Huaqiang,ZANG Tianlei,et al.Peer-topeer power trading among virtual power plants considering network fees in distribution network[J]. Electric Power Construction, 2024,45(9):164-177.
• [14]许泽凯，刘曌，和敬涵，等.新型配电网多虚拟电厂分布式资源聚合与聚合体优化运行方法[J].高电压技术，2024,50(1):105-116.XU Zekai,LIU Zhao,HE Jinghan,et al. Distributed resource aggregation and aggregate optimization operation method of multi-virtual power plant in new power distribution network[J].High Voltage Engineering,2024,50(1):105-116.
• [15]张卫国，宋杰，郭明星，等.考虑电动汽车充电需求的虚拟电厂负荷均衡管理策略[J].电力系统自动化，2022,46(9):118-126.ZHANG Weiguo,SONG Jie,GUO Mingxing,et al.Load balancing management strategy for virtual power plants considering charging demand of electric vehicles[J].Automation of Electric Power Systems,2022,46(9):118-126.
• [16]戴睿鹏，窦晓波，喻洁，等.含光储充的配网虚拟电厂二次调频随机模型预测控制策略[J].电网技术，2024,39(19):2023-2039.DAI Ruipeng,DOU Xiaobo,YU Jie,etc. Secondary frequency control strategy for photovoltaic-storage-charging distribution-level virtual power plant based on stochastic model predictive control[J]. Power System Technology,2024,39(19):2023-2039.
• [17]卫志农，陈妤，黄文进，等.考虑条件风险价值的虚拟电厂多电源容量优化配置模型[J].电力系统自动化，2018,42(4):39-46.WEI Zhinong,CHEN Yu,HUANG Wenjin,et al. Optimal allocation model for multi-energy capacity of virtual power plant considering conditional Value-at-risk[J].Automation of Electric Power Systems,2018,42(4):39-46.
• [18]云秋晨，田立亭，齐宁，等.基于投资组合理论的虚拟电厂资源优化组合方法[J].电力系统自动化，2022,46(1):146-154.YUN Qiuchen,TIAN Liting,QI Ning,et al.Optimization method of resource combination for virtual power plant based on modern portfolio theory[J].Automation of Electric Power Systems,2022,46(1):146-154.
• [19]骆钊，耿家璐，黎博文，等.考虑碳-绿证交易机制的虚拟电厂分布鲁棒优化调度[J].电力建设，2023,44(10):137-148.LUO Zhao,GENG Jialu,LI Bowen,et al.Distributionally robust optimal dispatching for virtual power plants considering carbon-green certificate trading mechanism[J].Electric Power Construction,2023,44(10):137-148.
• [20]赵振宇，李炘薪.基于阶梯碳交易的碳捕集电厂-电转气虚拟电厂低碳经济调度[J].发电技术，2023,44(6)769-780.ZHAO Zhenyu,LI Xinxin.Low-carbon economic dispatch based on ladder carbon trading virtual power plant considering carbon capture power plant and power-to-Gas[J].Power Generation Technology,2023,44(6)769-780.
• [21]邓淑斌，李嵘，梁志飞，等.考虑碳交易和绿证交易的配电网优化运行策略[J].电力建设，2023,44(10):149-156.DENG Shubin,LI Rong,LIANG Zhifei,et al.The optimal operation strategy of distribution network considering carbon trading and green certificate trading mechanisms[J].Electric Power Construction,2023,44(10):149-156.
• [22] YU X Y,DONG Z J,ZHOU D Q,et al. Integration of tradable green certificates trading and carbon emissions trading:How will Chinese power industry do?[J].Journal of Cleaner Production,2021,279:123485.
• [23]尚楠，陈政，卢治霖，等.电力市场、碳市场及绿证市场互动机理及协调机制[J].电网技术，2023,47(1):142-154.SHANG Nan,CHEN Zheng,LU Zhilin,et al.Interaction principle and cohesive mechanism between electricity market, carbon market and green power certificate market[J].Power System Technology,2023,47(1):142-154.
• [24]刘可真，代莹皓，赵庆丽，等.考虑碳-绿色证书交易机制的新能源跨省交易模型[J].电力系统及其自动化学报，2023,35(8):9-19.LIU Kezhen,DAI Yinghao,ZHAO Qingli,et al.New energy interprovincial trading model considering carbongreen certificate trading mechanism[J].Proceedings of the CSU-EPSA,2023,35(8):9-19.
• [25] ZHANG L,LIU D Y,CAI G W,et al. An optimal dispatch model for virtual power plant that incorporates carbon trading and green certificate trading[J]. International Journal of Electrical Power&Energy Systems,2023,144:108558.
• [26] YAN Q Y,AI X B,LI J M. Low-carbon economic dispatch based on a CCPP-P2G virtual power plant considering carbon trading and green certificates[J].Sustainability,2021,13(22):12423.
• [27]袁桂丽，刘培德，唐福斌，等.计及绿色电力证书与碳交易制度的“源-荷”协调优化调度[J].太阳能学报，2022,43(6):190-195.YUAN Guili,LIU Peide,TANG Fubin,et al.Source-load coordination optimal scheduling considering green power certificate and carbon trading mechanisms[J].Acta Energiae Solaris Sinica,2022,43(6):190-195.
• [28]程乐峰，余涛.开放电力市场环境下多群体非对称演化博弈的均衡稳定性典型场景分析[J].中国电机工程学报，2018,38(19):5687-5703.CHENG Lefeng,YU Tao. Typical scenario analysis of equilibrium stability of multi-group asymmetric evolutionary games in the open and ever-growing electricity market[J].Proceedings of the CSEE,2018,38(19):5687-5703.
• [29]曹阳，喻洁，李扬，等.基于演化博弈的区域综合能源市场零售侧竞争策略选择方法[J].电力系统自动化，2023,47(5):104-113.CAO Yang,YU Jie,LI Yang,et al. Evolutionary game based competition strategy selection method for retail side of regional integrated energy market[J]. Automation of Electric Power Systems,2023,47(5):104-113.
• [30]刘柳君，崔雪.基于系统动力学的DSM中三方主体激励演化博弈分析[J].武汉大学学报（工学版），2023,56(9):1096-1104.LIU Liujun,CUI Xue.Incentive evolutionary game analysis of three parties in demand side management based on system dynamics[J].Engineering Journal of Wuhan University,2023,56(9):1096-1104.