Distributed Day-ahead Peer-to-Peer Trade for Multimicrogrid Integration of Smart Buildings in Active Distribution Networks

Aiming at the problems that today's distributed trading market does not fully reflect the energy consumption characteristics of terminal users. The game relationship between market players yet merits further research. This paper proposed a distributed Peer-to-Peer (P2P) trading method for microgrid clusters in active distribution networks containing series of integrated smart buildings. The smart building was first taken as the carrier of the terminal load in a thermal balance model entitled “thermal resistance-heat capacity (R-C) An autonomous economic scheduling model of the market entity was then established accordingly. The non-cooperative game model and the Stackelberg game model were used to analyze the game relationship among sellers and between sellers and buyers in P2P transactions. The impact of terminal energy consumption characteristics on microgrid economic scheduling and P2P transactions was analyzed under real-world conditions; the economic and technological benefits remitted by P2P transactions on microgrid operation were also quantitatively analyzed.