Abstract: As China is gradually transitioning towards a low-carbon energy structure, the proportion of new grid-connected energy sources, such as wind and solar power, continues to increase. To ensure the safe and reliable operation of the power system and meet the capacity planning for future new energy installations, flexible resources are required with corresponding adjustment capabilities in the power system. To this end, this study presents an optimization model for the allocation of multiple types of flexible resources, considering spatiotemporal response characteristics. First, a flexibility assessment model was developed based on the spatial and temporal response characteristics, constructing flexibility evaluation indices such as flexibility average deficit and flexibility coverage index. These indices are used to screen nodes with inadequate flexibility in the power system and analyze the flexibility adequacy at various nodes. Next, the adjustment characteristics of multiple types of flexible resources were analyzed, and a model was established to determine adjustment capabilities. Finally, by considering constraints based on time flexibility evaluation indices, a two-stage optimization model for flexible resource allocation was constructed. This model leverages the multiscale matching characteristics between flexible resources and fluctuation patterns of new energy sources, to guide the allocation of flexible resources to nodes with insufficient flexibility. The effectiveness and applicability of the proposed flexible resource allocation method were validated using the IEEE 9-node system.