The open and shared environment makes it unavoidable to face data attacks in the context of the energy internet. Tolerance to data intrusion is of utmost importance for the security and stability of the energy internet. Existing methods for data intrusion tolerance suffer from insufficient dynamic adaptability and challenges in determining tolerance levels. To address these issues, this paper introduces a data intrusion tolerance model based on game theory. A Nash equilibrium is established by analyzing the gains and losses of both attackers and defenders through game theory. Finally, the simulation results conducted on the IEEE 14-bus node system illustrate that the model we propose offers guidance for decision-making within the energy internet, enabling the utilization of game theory to determine optimal intrusion tolerance strategies.