Abstract: The large-scale development and grid-connection of offshore and onshore wind power poses challenges to the stability of the power grid, and microgrid is an effective way to address the optimal operation of the distributed generation systems. Comprehensive considering the system operation economy and carbon emission environmental benefits of the microgrid cluster, a low-carbon day-ahead scheduling model for the interactive microgrid cluster based on distributed shared energy storage was proposed. Firstly, a pricing strategy was proposed based on the traditional real-time pricing to follow the net load of the microgrid, considering the uncertainty of wind power. Subsequently, the user satisfactions to price-based and incentive-based demand responses were defined according to the load characteristics of the microgrid users. Then, the stepped carbon trading mechanism was introduced to construct the carbon emission cost model, and the carbon emission chains of the system operation were partitioned by the life cycle assessment. Finally, the distributed energy storage resources were utilized for day-ahead optimal scheduling, based on the interactive operation of the microgrid cluster. The simulation example shows that the proposed interactive scheduling model eliminates the previous wind curtailment issue, and reduces the carbon emission by 32.14 t and the total system operation cost by 15.05%, compared with the independent microgrid cluster.