Generally

energy trading in smart grid is realized by microgrids. Correspondingly

energy trading in energy internet relies on small-scale energy systems

named as Weenergies (WEs). Previous works on the distributed energy trading focused on the trading platform or trading mechanism based on distributed communication. However

most ignored the fact that there is no express delivery of energy trading

and the transmission of energy depends on a fixed physical topology. Energy transactions without considering the transmission distance will increase the difficulty of energy scheduling and the transmission cost of energy. Aiming at this problem

an aggregation game among WEs is proposed for two-way multi-energy trading

and a distributed algorithm is designed to solve the Nash equilibrium. Since each WE only needs to communicate with its neighbors to exchange information

this distributed process reduces communication burden and improves information security. Furthermore

a multi-energy transmission optimization model is established to determine the transmission path of the transmission energy

which can minimize the transmission cost. Subsequently

to reduce the influence of real-time fluctuations of renewable energy and load

a receding horizon control algorithm is designed to improve the reliability of the proposed game. Finally

the effectiveness in dealing with two-way multi-energy trading of the proposed strategy is verified through simulations on the five connected WEs.