PDF(987 KB)
P2P Transaction Matching Method in Virtual Power Plant Carbon-Electricity Integrated Market Considering Transaction Harmony
WANG Sheng, LUO Peng, GONG Zheng, SHI Ruijie, NIU Huanna, LI Haoyuan
Distributed Energy ›› 2026, Vol. 11 ›› Issue (4) : 82-94.
PDF(987 KB)
PDF(987 KB)
P2P Transaction Matching Method in Virtual Power Plant Carbon-Electricity Integrated Market Considering Transaction Harmony
The trading behavior of virtual power plant (VPP) in the carbon-electricity market will affect the harmonious development of the market. Therefore, this paper proposes a peer to peer (P2P) transaction matching method for VPPs to participate in the carbon-electricity convergence market considering trading harmony. Firstly, the overall framework for VPPs participating in P2P transaction mechanisms of the carbon-electricity convergence market is designed. Based on the operation plan of each unit of source, load and storage in VPP and the carbon emission coefficient of carbon-emitting units, a transaction capacity evaluation model for VPP to participate in the electricity market and carbon market is constructed. Meanwhile, by analyzing the impact of various historical transaction behaviors and performance behaviors of VPP on the harmonious development of the carbon-electricity trading market, the evaluation index of trading harmony for VPP participating in the carbon-electricity market is proposed. Secondly, a P2P transaction matching model for the primary carbon-electricity convergence market is constructed with the objective function of maximizing the total transaction acceptance of both parties, including the transaction harmony of both parties, the transaction price acceptance of both parties and the carbon neutrality achievement of both parties. Furthermore, a secondary carbon market P2P transaction mechanism is established as a supplementary part of the primary carbon-electricity convergence transaction market for the carbon rights transaction volume corresponding to the deviation between the actual executed electricity and the agreed electricity in the day-ahead electricity market. Finally, the simulation example verifies that VPP with high trading harmony and low carbon emissions are more competitive in the P2P transactions of the carbon-electricity convergence market.
virtual power plant (VPP) / transaction rapport / carbon-electricity integration / peer to peer (P2P) transaction matching / electricity market
| [1] |
康重庆, 姚良忠. 高比例可再生能源电力系统的关键科学问题与理论研究框架[J]. 电力系统自动化, 2017, 41(9): 2-11.
Kang Chongqing, Yao Liangzhong. Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2017, 41(9): 2-11.
|
| [2] |
孙晶琪, 王愿, 郭晓慧, 等. 考虑环境外部性和风光出力不确定性的虚拟电厂运行优化[J]. 电力系统自动化, 2022, 46(8): 50-59.
Sun Jingqi, Wang Yuan, Guo Xiaohui, et al. Optimal operation of virtual power plant considering environmental externality and output uncertainty of wind and photovoltaic power[J]. Automation of Electric Power Systems, 2022, 46(8): 50-59.
|
| [3] |
王蓓蓓, 吴文强, 张汀荟, 等. 考虑动态过网费的分布式电能交易与配电网运营联合交互[J]. 电力系统自动化, 2023, 47(18): 91-100.
Wang Beibei, Wu Wenqiang, Zhang Tinghui, et al. Joint interaction between distributed power trading and distribution network operation considering dynamic network tariffs[J]. Automation of Electric Power Systems, 2023, 47(18): 91-100.
|
| [4] |
高红均, 张凡, 刘俊勇, 等. 考虑多产消者差异化特征的社区微网系统P2P交易机制设计[J]. 中国电机工程学报, 2022, 42(4): 1455-1469.
Gao Hongjun, Zhang Fan, Liu Junyong, et al. Design of P2P transaction mechanism considering differentiation characteristics of multiple prosumers in community microgrid system[J]. Proceedings of the CSEE, 2022, 42(4): 1455-1469.
|
| [5] |
张立辉, 戴谷禹, 聂青云, 等. 碳交易机制下计及用电行为的虚拟电厂经济调度模型[J]. 电力系统保护与控制, 2020, 48(24): 154-163.
Zhang Lihui, Dai Guyu, Nie Qingyun, et al. Economic dispatch model of virtual power plant considering electricity consumption under a carbon trading mechanism[J]. Power System Protection and Control, 2020, 48(24): 154-163.
|
| [6] |
张叶青, 陈文彬, 徐律军, 等. 面向多虚拟电厂的分层分区多层互补动态聚合调控策略[J]. 发电技术, 2024, 45(1): 162-169.
Zhang Yeqing, Chen Wenbin, Xu Lüjun, et al. Multi-virtual power plant-oriented dynamic aggregation control strategy based on hierarchical partition and multi-layer complementation[J]. Power Generation Technology, 2024, 45(1): 162-169.
|
| [7] |
李明冰, 李强, 管西洋, 等. 市场环境下考虑多元用户侧资源协同的虚拟电厂低碳优化调度[J]. 中国电力, 2025, 58(2): 66-76.
Li Mingbing, Li Qiang, Guan Xiyang, et al. Market oriented low-carbon optimal scheduling of virtual power plants considering multiple user-side resources coordination[J]. Electric Power, 2025, 58(2): 66-76.
|
| [8] |
郝俊伟, 樊艳芳. 考虑需求响应优先级的配电终端虚拟电厂优化调度研究[J]. 可再生能源, 2024, 42(5): 647-654.
Hao Junwei, Fan Yanfang. Research on optimal dispatching of virtual power plant of distribution terminal considering priority of demand response[J]. Renewable Energy Resources, 2024, 42(5): 647-654.
|
| [9] |
仪忠凯, 许银亮, 吴文传. 考虑虚拟电厂多类电力产品的配电侧市场出清策略[J]. 电力系统自动化, 2020, 44(22): 143-151.
Yi Zhongkai, Xu Yinliang, Wu Wenchuan. Market clearing strategy for distribution system considering multiple power commodities offered by virtual power plant[J]. Automation of Electric Power Systems, 2020, 44(22): 143-151.
|
| [10] |
周亦洲, 孙国强, 黄文进, 等. 计及电动汽车和需求响应的多类电力市场下虚拟电厂竞标模型[J]. 电网技术, 2017, 41(6): 1759-1766.
Zhou Yizhou, Sun Guoqiang, Huang Wenjin, et al. Strategic bidding model for virtual power plant in different electricity markets considering electric vehicles and demand response[J]. Power System Technology, 2017, 41(6): 1759-1766.
|
| [11] |
刘晓军, 聂凡杰, 杨冬锋, 等. 碳捕集电厂-电转气联合运行模式下考虑绿证-碳交易机制的综合能源系统低碳经济调度[J]. 电网技术, 2023, 47(6): 2207-2217.
Liu Xiaojun, Nie Fanjie, Yang Dongfeng, et al. Low carbon economic dispatch of integrated energy systems considering green certificates-carbon trading mechanism under CCPP-P2G joint operation model[J]. Power System Technology, 2023, 47(6): 2207-2217.
|
| [12] |
陈登勇, 刘方, 刘帅. 基于阶梯碳交易的含P2G-CCS耦合和燃气掺氢的虚拟电厂优化调度[J]. 电网技术, 2022, 46(6): 2042-2053.
Chen Dengyong, Liu Fang, Liu Shuai. Optimization of virtual power plant scheduling coupling with P2G-CCS and doped with gas hydrogen based on stepped carbon trading[J]. Power System Technology, 2022, 46(6): 2042-2053.
|
| [13] |
刘铠诚, 孙嘉赣, 周任军, 等. 碳市场下火电统一碳排放基准与减排效应分析[J]. 电力建设, 2018, 39(1): 113-118.
Liu Kaicheng, Sun Jiagan, Zhou Renjun, et al. A unified carbon emission benchmark for fossil-fueled units and its effect on carbon emission reduction in carbon market[J]. Electric Power Construction, 2018, 39(1): 113-118.
|
| [14] |
吉斌, 刘妍, 朱丽叶, 等. 基于联盟区块链的电力碳权交易机制设计[J]. 华电技术, 2020, 42(8): 32-40.
Ji Bin, Liu Yan, Zhu Liye, et al. Design of carbon emission permit trading mechanism in power industry based on consortium blockchain[J]. Huadian Technology, 2020, 42(8): 32-40.
|
| [15] |
叶晨, 牟玉亭, 王蓓蓓, 等. 考虑动态碳交易曲线的电–碳市场出清模型及节点边际电价构成机理分析[J]. 电网技术, 2023, 47(2): 613-623.
Ye Chen, Mou Yuting, Wang Beibei, et al. Mechanism of locational marginal prices and clearing model of electricity and carbon market considering dynamic carbon trading curve[J]. Power System Technology, 2023, 47(2): 613-623.
|
| [16] |
吉斌, 昌力, 陈振寰, 等. 基于区块链技术的电力碳排放权交易市场机制设计与应用[J]. 电力系统自动化, 2021, 45(12): 1-10.
Ji Bin, Chang Li, Chen Zhenhuan, et al. Blockchain technology based design and application of market mechanism for power carbon emission allowance trading[J]. Automation of Electric Power Systems, 2021, 45(12): 1-10.
|
| [17] |
李强, 赵峰, 宋卫平, 等. 促进低碳运行的虚拟电厂P2P交易模型[J]. 分布式能源, 2025, 10(3): 53-63.
Li Qiang, Zhao Feng, Song Weiping, et al. P2P trading model for virtual power plants promoting low-carbon operation[J]. Distributed Energy, 2025, 10(3): 53-63.
|
| [18] |
邢耀敏, 高春雨, 廖丛林. 考虑碳捕集及碳交易的虚拟电厂多目标优化调度[J]. 分布式能源, 2025, 10(3): 42-52.
Xing Yaomin, Gao Chunyu, Liao Conglin. Multi-objective optimization dispatching for virtual power plants considering carbon capture and carbon trading strategy[J]. Distributed Energy, 2025, 10(3): 42-52.
|
| [19] |
陶泽飞, 刘敏, 何旺. 计及风光不确定性和相关性的虚拟电厂参与电-碳-绿证市场优化调度[J]. 分布式能源, 2024, 9(3): 55-64.
Tao Zefei, Liu Min, He Wang. Optimization scheduling of virtual power plants participating in electric energy trade-carbon trade-green license trade considering uncertainty and correlation of wind power and PV[J]. Distributed Energy, 2024, 9(3): 55-64.
|
| [20] |
王桂兰, 卓怀宇, 卢建刚, 等. 计及信誉值的虚拟电厂多主体合作博弈交易方法[J]. 广东电力, 2024, 37(8): 26-34.
Wang Guilan, Zhuo Huaiyu, Lu Jiangang, et al. Multi-agent cooperative game trading method for virtual power plants considering reputation value[J]. Guangdong Electric Power, 2024, 37(8): 26-34.
|
| [21] |
崔树银, 陆奕, 常啸. 考虑信用评分机制的电力碳排放交易区块链模型[J]. 电力建设, 2019, 40(1): 104-111.
Cui Shuyin, Lu Yi, Chang Xiao. Research on model of blockchain-enabled power carbon emission trade considering credit scoring mechanism[J]. Electric Power Construction, 2019, 40(1): 104-111.
|
| [22] |
王蓓蓓, 王骐鑫, 李雅超, 等. 区块链环境下考虑信用的需求响应资源交易机制[J]. 电力系统自动化, 2021, 45(5): 30-38.
Wang Beibei, Wang Qixin, Li Yachao, et al. Transaction mechanism of demand response resource considering credit in blockchain environment[J]. Automation of Electric Power Systems, 2021, 45(5): 30-38.
|
| [23] |
平健, 严正, 陈思捷, 等. 基于区块链的分布式能源交易市场信用风险管理方法[J]. 中国电机工程学报, 2019, 39(24): 7137-7145.
Ping Jian, Yan Zheng, Chen Sijie, et al. Credit risk management in distributed energy resource transactions based on blockchain[J]. Proceedings of the CSEE, 2019, 39(24): 7137-7145.
|
| [24] |
郭康壮, 赵俊, 李海斌, 等. 考虑碳交易和需求响应的虚拟电厂低碳经济调度[J]. 分布式能源, 2025, 10(2): 69-80.
Guo Kangzhuang, Zhao Jun, Li Haibin, et al. Low carbon economic dispatch of virtual power plants considering carbon trading and demand response[J]. Distributed Energy, 2025, 10(2): 69-80.
|
| [25] |
牛焕娜, 李宗晟, 窦伟, 等. 考虑交易和谐度的虚拟电厂参与调峰市场交易匹配方法[J]. 电力自动化设备, 2023, 43(5): 70-76.
Niu Huanna, Li Zongsheng, Dou Wei, et al. Transaction matching method for virtual power plant participating in peak regulation market considering transaction harmony degree[J]. Electric Power Automation Equipment, 2023, 43(5): 70-76.
|
| [26] |
李翔宇, 赵冬梅. 计及可调资源动态特性的虚拟电厂多级优化配置[J]. 电力系统自动化, 2020, 44(13): 17-24.
Li Xiangyu, Zhao Dongmei. Multi-level optimal configuration of virtual power plant considering dynamic characteristics of adjustable resources[J]. Automation of Electric Power Systems, 2020, 44(13): 17-24.
|
/
| 〈 |
|
〉 |
TSINGHUA JOURNALS HOME
