To fully leverage the advantages of ports as energy conversion hubs and transportation hubs

and to achieve deep coupling and efficient interaction between energy and transportation

a collaborative scheduling strategy of multi-port integrated energy systems (MPIES) based on the shared berths and peer-to-peer (P2P) trading is proposed. Firstly

the berthing features of hydrogen ships are characterized based on the joint allocation of berths and quay cranes. The energy-transportation coupling model is established considering the energy attributes of hydrogen ships

enabling the transportation load to respond on the temporal scale. Secondly

the MPIES energy- transportation sharing model is established. In terms of transportation sharing

the logistics demands and the spatial distribution of energy flow across multi-port are balanced through shared berths

enabling the transportation load to respond on the spatial scale. In terms of energy sharing

the P2P trading based on the mid-market rate (MMR) pricing mechanism is utilized to promote mutual complementarity of energy surplus and deficit across multi-port. Thirdly

the collaborative scheduling strategy of MPIES is proposed based on the cooperative game theory

and the generalized Nash bargaining is utilized for revenue allocation to ensure benefit maximization and fair distribution. Finally

the simulation is conducted based on three typical ports in Tianjin

China

to validate the effectiveness of the proposed model in enhancing the economic viability and flexibility of MPIES. Sensitivity analysis is performed to explore the key factors influencing the ecosystem featuring “ships following source” and “source following ships”.