针对多源不确定性条件下配电网灵活性服务调度中运行安全与履约可靠性难以兼顾的问题，提出一种基于分布鲁棒机会约束规划的配电网优化调度方法。构建包含硬安全约束与分布鲁棒机会约束的分层模型，其中硬安全约束用于约束在设定扰动支撑范围和模型条件下的节点电压、支路容量及储能能量边界等运行安全要求，分布鲁棒机会约束用于表征公共连接点有功、无功灵活性服务的履约风险。进一步，引入线性决策规则刻画实时调节策略，实现可控负荷、储能及光伏逆变器无功资源的协同优化调度，并将模型转化为二阶锥规划问题进行求解。基于 IEEE 33 节点和 IEEE 123 节点系统的算例结果表明，所提方法能够在设定扰动支撑范围和模型条件下满足配电网运行安全要求，提高灵活性服务履约可靠性，降低样本外越限风险，具有较好的经济性与工程适用性。

To address the difficulty of simultaneously ensuring operational security and delivery reliability in flexibility service scheduling of distribution networks under multiple sources of uncertainty, an optimal scheduling method based on distributionally robust chance-constrained programming is proposed. A hierarchical model incorporating hard security constraints and distributionally robust chance constraints is established, in which the hard security constraints are used to impose operational security requirements on nodal voltage, branch capacity, and energy boundaries of energy storage within the prescribed uncertainty support and under the adopted model conditions, while the distributionally robust chance constraints are introduced to characterize the delivery risk of active and reactive flexibility services at the point of common coupling. Furthermore, linear decision rules are employed to describe real-time adjustment strategies, thereby enabling the coordinated optimal scheduling of controllable loads, energy storage, and reactive power resources of photovoltaic inverters. The resulting model is then reformulated as a second-order cone programming problem for efficient solution. Case studies on the IEEE 33-bus and IEEE 123-bus systems demonstrate that the proposed method can improve the delivery reliability of flexibility services and reduce out-of-sample violation risk while ensuring the secure operation of the distribution network, with satisfactory economic performance and engineering applicability.