交直流配电网内局部形成的微电网具有自治运行能力，传统不确定性优化方法难以灵活处理这类源荷双性的特殊节点不确定行为，难以实现调度方案与实际运行的精准匹配。为此，提出一种将微网自治运行嵌入双时间尺度调度的交直流配电网自适应鲁棒优化策略。首先，以含微电网的交直流配电系统为对象，建立交直流分区运行优化模型。其次，提出基于自适应鲁棒优化的运行架构，计及源荷不确定性与微网潜在的拓扑变化，制定最恶劣场景下的鲁棒调度计划，同时动态修正调整系统储能、购电和功率交互计划，依据实时系统状态执行微网自治并/离网切换。最后，以典型算例验证其有效性：所提方法通过配微协同避免了直流配网在午间高峰时段产生的阻塞，减少了电压偏差，且有效改善了方案的保守性，降低系统总成本4.2%，减少损耗3.3%。

Microgrids formed locally within AC/DC distribution network possess autonomous operation capabilities. Traditional uncertainty optimization methods struggle to flexibly handle the uncertain behaviors of these special nodes with dual-source and load characteristics, making it difficult to achieve precise alignment between scheduling plans and actual operations. To address this, an adaptive robust optimization strategy for AC/DC distribution network is proposed, embedding microgrid autonomous operation into a dual-time-scale scheduling framework. First, an optimization model for the partitioned operation of an AC/DC distribution network incorporating microgrids is established. Second, an operational architecture based on adaptive robust optimization is introduced, accounting for source-load uncertainties and potential topological changes in microgrids. This framework formulates a robust scheduling plan for the worst-case scenario while dynamically adjusting energy storage, electricity procurement, and power exchange plans. It also executes autonomous microgrid grid-connected or islanding switching based on real-time system conditions. Finally, the effectiveness of the proposed method is validated using a typical case study: through coordinated distribution and microgrid operations, the method avoids congestion in the DC distribution network during midday peak hours, reduces voltage deviations, effectively mitigates the conservatism of the plan, lowers the total system cost by 4.2%, and reduces losses by 3.3%.