Market Design of P2P Electricity Carbon Coupling Transaction Among Multi-microgrids in a Zone

被引:0
|
作者
Ge S. [1 ]
Cheng X. [1 ]
Liu H. [1 ]
Li J. [1 ]
Li J. [1 ]
机构
[1] Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin
[2] Dalian Electric Power Supply Company, State Grid Liaoning Electric Power Supply Co., Ltd., Dalian
来源
基金
中国国家自然科学基金;
关键词
distributed solving algorithm; electricity carbon coupling; low carbon measurement; multi-microgrids; peer-to-peer transaction; uncertainty;
D O I
10.13336/j.1003-6520.hve.20220948
中图分类号
学科分类号
摘要
Aiming at the problem that the multi-microgrid transactions in the zone are purely economic oriented and ignore the benefits of carbon emissions, a coupling market of peer-to-peer (P2P) energy trading and carbon trading is designed to further realize the low-carbon operation of the zone. Firstly, based on the marginal carbon emission factor of the distribution network, the measurement method of the low-carbon contribution of distributed renewable energy generation is proposed, and the revenue measurement model of each microgrid based on electricity-carbon trading is constructed. Secondly, by using the P2P trading mechanism based on game theory, a day-ahead electricity-carbon linkage market is designed under the condition of perfect competition, so that each microgrid can flexibly adjust the electricity generation and consumption behavior and the purchase and sale role according to the real-time electricity and carbon price; moreover, the existence of the designed market game equilibrium point is proved. Thirdly, based on the supply-demand relationship of electricity and carbon quotas, the expressions of electricity price and carbon price are derived, and a distributed optimization algorithm which can effectively ensure the privacy of users is proposed. Finally, simulation results verify that the designed market can effectively support the integration of economic benefits and low-carbon benefits in the zone. © 2023 Science Press. All rights reserved.
引用
收藏
页码:1341 / 1351
页数:10
相关论文
共 22 条
  • [1] QIAO Xuebo, YANG Zhixiang, LI Yong, Et al., Optimization strategy for cooperative operation of multi-microgrids considering two-level carbon trading and demand response, High Voltage Engineering, 48, 7, pp. 2573-2583, (2022)
  • [2] LI Xiaozhu, CHEN Laijun, YIN Jun, Et al., Capacity planning of multiple parks shared hydrogen energy storage system for low-carbon energy supply, High Voltage Engineering, 48, 7, pp. 2534-2544, (2022)
  • [3] DYNGE M F, DEL GRANADO P, HASHEMIPOUR N, Et al., Impact of local electricity markets and peer-to-peer trading on low-voltage grid operations, Applied Energy, 301, (2021)
  • [4] WEI C, SHEN Z Z, XIAO D L, Et al., An optimal scheduling strategy for peer-to-peer trading in interconnected microgrids based on RO and Nash bargaining, Applied Energy, 295, (2021)
  • [5] LYU C, JIA Y W, XU Z., Fully decentralized peer-to-peer energy sharing framework for smart buildings with local battery system and aggregated electric vehicles, Applied Energy, 299, (2021)
  • [6] WU Jiechen, AI Xin, HU Junjie, Et al., Peer-to-peer modeling and optimal operation for prosumer energy management in intelligent community, Power System Technology, 44, 1, pp. 52-60, (2020)
  • [7] ZHOU Y, WU J Z, LONG C., Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework, Applied Energy, 222, pp. 993-1022, (2018)
  • [8] HUANG Xianchao, FENG Yu, DING Zhaohao, Design of multi-time scale trading mechanism and trading strategy optimization for multiple microgrids, Automation of Electric Power Systems, 44, 24, pp. 77-88, (2020)
  • [9] CINTUGLU M H, MARTIN H, MOHAMMED O A., Real-time implementation of multiagent-based game theory reverse auction model for microgrid market operation, IEEE Transactions on Smart Grid, 6, 2, pp. 1064-1072, (2015)
  • [10] WANG Z B, YU X D, MU Y F, Et al., A distributed peer-to-peer energy transaction method for diversified prosumers in Urban Community Microgrid System, Applied Energy, 260, (2020)