Abstract: Driven by the national "dual carbon" goal, distributed new energy is thriving, and microgrids, as important carriers for new energy consumption, have seen a continuous increase in their penetration ratio in distribution systems. Considering the complexity of interactions among various entities such as microgrids and distribution networks, a distributed optimization scheduling method for multi-microgrid integration into intelligent distribution grid systems is proposed to enhance the economic and security performance of the system and promote the consumption and utilization of distributed new energy. Firstly, energy management models for microgrids and distribution networks are proposed, considering their respective optimization objectives. Based on this, an optimization scheduling model for intelligent distribution grid systems containing multiple microgrids is established, and a distributed solution strategy based on the alternating direction method of multipliers(ADMM) is presented. Additionally, a privacy protection mechanism using the ADMM algorithm is introduced to effectively safeguard the data privacy of each operator. Finally, case studies are conducted on a 33-node distribution system with three microgrids integrated to verify the effectiveness and accuracy of the model and algorithm, confirming that the integration of multiple microgrids into intelligent distribution systems can ensure both economic and secure operations while effectively accommodating renewable energy sources.