【目的】为缓解我国新型电力系统转型中凸显的分布式光伏消纳和电网调峰困难压力，提出了一种灵活资源与输配协同规划方法。【方法】首先，为准确描述输配电网的运行特征，并简化模型的复杂度，对输电网层实现变电站的精细化建模，在配电网层对配电线路及其所带的负荷和分布式光伏的位置采取了等效化处理，同时在配电网层整合需求响应、分布式储能和负荷转供三类灵活资源，确保输电网和配电网之间的协同配合；其次，引入负荷转供约束以及变电站潮流反向限制条件，以满足N-1故障下的保供和消纳需求；最后，针对海量N-1故障待选集造成的计算困难，采用状态评估和割集打包的策略改进传统的列与约束生成（column-and-constraint generation， CCG）算法，从而实现模型的快速求解。【结果】XJTU-ROTS区域C算例表明，系统新能源消纳率平均提高4.67%，反向潮流风险由5.45%降低至4.86%。【结论】所提方法可以在保障负荷可靠供应的基础上有效提高新能源的消纳率，为电力系统规划提供了新思路。

[Objective] To alleviate the difficulties in the consumption of distributed photovoltaic power and peak shaving of the power grid， which have become prominent during the transformation of China's new power system， flexible resources， and a collaborative planning method for transmission and distribution is proposed. [Methods] First， to accurately describe the operational characteristics of transmission and distribution networks and simplify the complexity of the model， refined modeling of substations was achieved at the transmission network layer. In the distribution network layer， the positions of the distribution lines， loads they carry， and distributed photovoltaic systems were treated equivalently. Three types of flexible resources-demand response， distributed energy storage， and load transfer-were integrated in the distribution network layer. First， we ensured the coordinated cooperation between the transmission and distribution grids. Subsequently， load transfer supply constraints and reverse power flow restriction conditions of substations were introduced to meet the supply guarantee and consumption demands under N-1 faults. Finally， concerning the computational difficulty caused by the massive N-1 fault candidate set， the traditional CCG algorithm was improved by adopting the strategies of state evaluation and cut-set packaging， thereby achieving a rapid solution of the model. [Results] The XJTU-ROTS Area C example showed that the new energy consumption rate of the system increased by an average of 4.67%， and the reverse flow risk decreased from 5.45% to 4.86%. [Conclusions] The proposed method can effectively increase the consumption rate of new energy by ensuring a reliable load supply， thereby providing a new concept for the planning of power systems.