At present, the modeling of integrated energy systems (IES) is more described from the input-output relationship of the system and the relationship between internal state and input-output, and the transfer process of its internal state in different stages is difficult to be presented clearly. After the large increase of the proportion of distributed renewable energy, the operating states and state transition processes of IES at different stages need to be observable and controllable. Therefore, a hybrid automata-based phased state transfer space modeling method for IES is proposed, which can accurately describe the transfer conditions of the internal state of the IES and its transfer process, and is conducive to phased management and optimal control of all energy production units and energy consumption units in IES from start-up, operation to stop. The simulation results show that the proposed model achieves the whole process observation for the state transfer trajectory of the IES, which is conducive to the efficient management and optimal control of the whole process in stages.