Abstract: With the increasing penetration rate of distributed renewable energy on the user side, the peer-to-peer transactive energy market has gradually become an effective way to consume the surplus electricity. However, it is difficult to uniformly schedule and manage the distributed energy due to its frequent output fluctuations, dispersed locations and heterogeneous structures. Aimming at this issue, first, based on the concept of driver-passenger matching degree in the shared travel field, a new measurement index of spatial matching degree for power generation and consumption is proposed, which is used to determine whether the distribution network is suitable for implementing peer-to-peer transactive energy market. Then, based on the measurement index, a market clearing model that takes into account the matching degree of power generation and consumption and social benefits is established,and the electricity price is adjusted in the distributed clearing process of peer-to-peer transactive energy market to guide more energy prosumers to participate in the market. Finally, the effectiveness of the proposed distributed clearing model is verified using an IEEE 69-bus case, and the effectiveness of the model in improving local consumption rate of renewable energy is verified by analyzing market equilibrium and matching degree of power generation and consumption with different transaction parameters.According to the simulation results, the proposed clearing algorithm can effectively improve the local consumption rate of renewable energy.