In the multi-microgrid distributed power transaction market

imperfect user preference and unstable matching mechanisms will cause traders to default. At the same time

the potential line congestion will also affect safety of distribution network and transaction efficiency. Therefore

a multi-microgrid distributed power transaction blockchain model considering user preference and congestion management is proposed. Firstly

user preference indicators are constructed by using such information as user price

reputation value

historical cooperation base and maximum available power. The evaluation of both electricity buyers and sellers is conducted to form a ranking result of cooperation preference. Then

a bilateral matching mechanism based on the Gale-Shapley algorithm is proposed to enable participants to obtain stable matching results in the two-way selection of the transaction market. After that

a congestion management mechanism based on the depth-first search (DFS) algorithm is proposed to ensure the smooth execution of transaction orders in case of congestion of some lines. Finally

the verification is performed based on the Matlab simulation platform and Ethereum transaction platform. The result of the example proves that the proposed transaction strategy can effectively alleviate the problems of user default and line congestion as well as improve transaction efficiency.