Abstract: In order to improve the economy of wind power consumption in the power system and achieve the goal of low carbon emissions, based on the method of model predictive control, a low-carbon economic dispatching model of source, load and storage for carbon capture power plants at multiple time scales was constructed. The operation mechanism and energy time-shifted characteristics of carbon capture power plants were analyzed at the source side. According to the difference of demand response time scale, the load side was invoked the price type and dynamic incentive demand response resources with different response speeds to participate in day-ahead and intra-day dispatching. Energy storage quickly adjusted the charge and discharge power to improve the operation economy. The day-ahead dispatching aimed to minimize operating costs and carbon emissions, and optimized the output plan of each unit of the system through coordinated dispatching of source, load and storage resources. Based on the rolling optimization and smoothing of power fluctuations, tracked and corrected day-ahead dispatching plan as the goal to deal with power fluctuations of scenario and load in real time. An example is given to verify that the proposed method can reduce the operating cost and carbon emissions, and realize the collaborative optimization of economy and low-carbon.