Distributed Peer-to-Peer Day-ahead Trading under Multi-microgrid Congestion Management in Active Distribution Networks

Aiming at the problems that game relationships between current distributed trading market entities merit further exploration and the impact of distributed transactions on distribution network operation is not yet fully understood. This paper proposes a multi-microgrid distributed Peer-to-Peer (P2P) day-ahead trade method considering congestion management. A model of the autonomous economic scheduling of the market entity was constructed. The non-cooperative game model and Stackelberg game model were then used to analyze the game relationship in the P2P transaction process under normal distribution network operation conditions. A congestion scheduling technique was then applied in the case of congested distribution network operation based on market capacity. Finally, simulation results were used to analyze the P2P transaction results in different scenarios as well as the impact of the proposed trade method on distribution network operation.