为应对高比例新能源接入下区域综合能源系统面临的功率波动与爬坡需求挑战，本文聚焦压缩空气储能（Advanced Adiabatic Compressed Air Energy Storage，AA-CAES）的爬坡支撑能力，构建计及AA-CAES爬坡能力的区域综合能源系统多时间尺度优化调度模型。首先，建立 AA-CAES 的运行模型，分析 AA-CAES 对火电爬坡的支撑能力；其次，提出计及 AA-CAES爬坡能力的区域综合能源系统多时间尺度优化调度策略：长时间尺度优化在满足系统功率平衡的前提下，最小化区域综合能源系统的运行成本；短时间尺度采用模型预测控制方法实现功率的动态修正。算例仿真结果表明，计及 AA-CAES爬坡能力的多时间尺度调度，可有效提升系统应对新能源波动的能力，避免火电频繁启停，同时降低运行成本、提升新能源消纳水平，为区域综合能源系统的经济稳定运行提供理论参考。

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.