Abstract: With the call of "double carbon" goals, the large-scale integration of renewable energy sources (RESs) poses a series of challenges to the frequency security of the power system, traditional scheduling methods are unable to meet the security requirements of novel power system. In this paper, a novel unit commitment (UC) model considering regional frequency dynamic differences and whole frequency response process is proposed. Firstly, a modeling approach based on virtual inertia control and power reserve control is proposed to describe the frequency response characteristics of wind turbines (WTs) and photovoltaics (PVs) within the scheduling framework. Additionally, recognizing the regional discrepancies in frequency dynamics resulting from variations in regulation resources distribution, this paper comprehensively derives linearized expressions for key indicators during the frequency events. Finally, the uncertainties produced by WTs and PVs are captured through data-driven distributionally robust optimization (DDRO) and the frequency dynamics constraints are incorporated into the UC model. The DDRO-based UC model that takes into account the regional frequency dynamic differences and the whole frequency response process is established. A modified column and constraint generation method is applied to solve the proposed model. Case studies indicate that the proposed model can adequately describe the frequency response characteristics of RESs and ensure the frequency security of multi-region interconnected power system under uncertainty.