To address the challenges of power fluctuations and ramping demands faced by regional integrated energy systems under high penetration of renewable energy， this paper focuses on the ramping support capability of Advanced Adiabatic Compressed Air Energy Storage （AA-CAES）. A multi-timescale optimization dispatch model for regional integrated energy systems incorporating AA-CAES ramping capability is established. First， an operational model of AA-CAES is established to analyze its support capability for thermal power ramping. Second， a multi-timescale optimization dispatch strategy for regional integrated energy systems incorporating AA-CAES ramping capability is proposed. Long-timescale optimization minimizes operational costs while ensuring system power balance， and short timescale dynamic power correction is achieved using Model Predictive Control （MPC）. Simulation results demonstrate that multi-timescale scheduling， incorporating AA-CAES ramping capability， effectively enhances the system's resilience to renewable energy fluctuations， reduces thermal power dispatch requirements， lowers operational costs， and improves the integration of renewable energy. This approach provides theoretical guidance for the economic and stable operation of regional integrated energy systems.