Abstract: In order to analyze the impact of various regulatory resources on the flexibility of a power system with wind power integration, a novel flexibility evaluation method is proposed from both the global and local perspective. In terms of demand response, for time-of-use price, the fuzzy C-means method is adopted to classify the load points. These are then combined with the continuous division criterion to determine the Time of Using（TOU） periods. To improve the efficiency of handling excessive wind power scenarios, a two-layer clustering method based on Canopy clustering and K-medoids clustering is proposed and verified to reflect the fluctuation of wind power. In the calculation, for each wind power scenario, an optimal dispatch model with economy as the objective function is constructed and solved, and then the overall and local flexibility of the power system is evaluated according to the scheduling results under multiple scenarios. Through simulation analysis, the effectiveness and rationality of the proposed flexibility assessment method are verified.