• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2023, Vol. 44 ›› Issue (12): 54-65.doi: 10.12204/j.issn.1000-7229.2023.12.005

• Analysis of the Coupling Mechanism of the Electricity Market and the Carbon Market ?Hosted by Professor ZHAO Junhua and Research Fellow LIANG Gaoqi? • Previous Articles     Next Articles

Low-Carbon Operation Strategy for P2P Energy Trading Among Multiple Microgrids Considering Demand Response

ZHAO Jie1, WANG Cong1, LI Guanguan2(), WU Bin1, LI Na3, PENG Ke2   

  1. 1. Shijiazhuang Electric Power Supply Branch of State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China
    2. School of Electrical & Electronic Engineering, Shandong University of Technology, Zibo 255000, Shandong Province, China
    3. Zhengding Electric Power Supply Power Branch of State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050800, China
  • Received:2023-08-08 Published:2023-12-01 Online:2023-11-29
  • Supported by:
    National Natural Science Foundation of China(51807112)


With the introduction of the “double carbon” target, microgrid is considered an effective form that integrates renewable power sources and improves energy utilization efficiency. In line with the increasing number of microgrids, peer-to-peer (P2P) energy trading among multiple microgrids is regarded as an effective solution for energy sharing and integration of distribution generation. This study proposes a P2P energy trading model that accounts for demand response and carbon emission characteristics to achieve supply and demand coordination while determining the optimal operation strategy. First, the microgrid in the model solves an economic optimization problem by participating in the demand response. Second, by considering carbon emission factors, the model offers a great opportunity to reduce operation and carbon emission costs, accounting for energy transactions and energy storage scheduling. To incentivize energy sharing among multiple microgrids, a P2P energy-trading model based on generalized Nash bargaining was developed that enables energy sharing and revenue allocation. In addition, optimal power flow constraints were incorporated into the model to enhance the security of power system operations. Finally, a simulation of the IEEE-33 system demonstrates that P2P energy trading among multiple microgrids effectively reduces operating costs and promotes the integration of renewable energy sources.

Key words: multiple microgrids, demand response, peer to peer (P2P) energy trading, generalized Nash bargaining

CLC Number: