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基于需求响应多时间尺度的特性，考虑新能源不确定的特点，建立了计及多时间尺度需求响应资源的日前–日内–实时滚动调度模型。模型中考虑了电价型需求响应资源，“日前”、“日内”、“实时”三个时间尺度的激励型需求响应资源，以及常规发电机组、快速启动机组两种响应速度不同的发电侧资源。针对风电预测精度日前–日内–实时逐步提高的特点，设计了一种基于场景的随机规划(scenario-based stochastic programming，SSP)与基于机会约束的随机规划(chance-constrained programming，CCP)相结合的滚动调度模型，对各阶段不同类型的资源进行优化配置求解，实现社会福利的最优。最后基于PJM-5节点系统的算例验证了调度策略的有效性。“,”Considering the multi-scale demand response (DR) resources and the uncertainties of the renewable energy, a rolling dispatch model which consists of three different time scales (namely day-ahead, in-day, and real-time dispatch) was proposed. The proposed dispatch model considers price-based DR, the incentive-based DR of three different time scales, and the generation resources of different response speeds (the conventional generation and the fast-start generation). Based on the characteristic that the wind forecasting precision improves from the day-ahead time-scale, to the in-day time-scale, and to the real-time time-scale, the rolling dispatch model adopted a design that combine the scenario-based stochastic programming (SSP) and the chance-constrained programming (CCP) together. By the proposed design, the different resources can be well dispatched and the total social warfare can be optimized. The testing results of the PJM-5 system verified the effectiveness of the proposed method.