Abstract: The present invention relates to an energy flow scheduling method based on multi-agent reinforcement learning, and the method comprising: designing an energy flow transmission mode for clustered islands, so as to describe energy transmission processes in between the clustered islands; building an energy flow transmission model for the clustered islands based on the energy flow transmission mode; establishing an energy system energy management model for the clustered islands; and realizing energy flow scheduling for the clustered islands based on multi-agent reinforcement learning methods and solving an energy management strategy. In the present invention, based on multi-agent reinforcement learning methods, in consideration of location characteristics of the clustered islands, reserves of renewable resources and mobile energy storage of electric vessels, self-adaption to changes in load requirements of islands with human settlements is satisfied.