Abstract: The significant integration of renewable energy sources has resulted in a continuous decline in the inertia level of power systems, emphasizing the increasingly apparent spatial and temporal non-uniformity of inertia characteristics. To precisely characterize the inertia level and distribution features of power systems with renewable energy sources, a partitioning strategy based on inertia response characteristics is proposed. Initially, using phasor measurement unit data, inertia sources are clustered by leveraging the distinctiveness of their inertia response processes. Subsequently, the primary support regions of inertia sources are determined by quantifying the inertia support capability of nodes using power center frequency and dynamic time warping distance, thereby achieving system partitioning. Finally, an inertia calculation method based on the law of energy conservation is employed to compute the system's inertia levels under different scenarios. Combined with the constraints, the influence of wind power on the inertia level of each region of the system after grid connection is analyzed, and the impact of renewable energy grid connection on the overall inertia support capacity of the system is quantified, contributing to the characterization of the spatiotemporal distribution features of system inertia and the inertia characteristics of renewable energy sources.