Key Laboratory of the Ministry of Education on Smart Power Grids (Tianjin University), Tianjin 300072, China

Aiming at the problems that the current distributed trading market does not fully consider the energy consumption characteristics of end users, and the game relationship between market entities still needs to be further explored, this paper proposes a peer-to-peer (P2P) trading method of multiple microgrids considering the characteristics of smart buildings. Firstly, taking smart buildings as the end load carrier, this paper proposes a new building resistance-capacity (R-C) thermal balance model and constructs an autonomous scheduling model for the market entities, i.e., the microgrids. Secondly, the non-cooperative game model and the Stackelberg game model are used to analyze the game relationship among sellers and the game relationship between sellers and buyers in the P2P transaction process, which improves the analysis of the game relationship between the links in the P2P transaction. Finally, through the practical cases, the influence of end energy consumption characteristics on the microgrid economic scheduling and P2P transactions is analyzed, and the economic and technical benefits of P2P transactions on the operation of microgrids are quantitatively analyzed by using specific indices. The influence of P2P transactions on distribution network operation is also analyzed.