Abstract: Wind power prediction accuracy and the regulation rate of thermal power plants have a greater impact on wind power accommodation. Considering that the wind power forecasting accuracy is improved with the shortening of the forecasting time scale, while taking into account the deeper regulation range and faster regulation rate of carbon capture power plants, a multiple time scales optimization scheduling strategy to improve the power system's wind power accommodation level was proposed. Firstly, it was divided into day-ahead, intra-day, and real-time dispatching phases, and the correlation between the various phases was analyzed. The dispatching strategies of carbon capture power plants at different time scales were studied, and their rationality for solving the problem of wind power accommodation was analyzed. Secondly, a three-time scales optimization scheduling model including day-ahead, intra-day and real-time phases was established. And the relationship between the carbon capture power plants adjustment and the wind power adjustment was analyzed in real-time phase. Finally, based on the IEEE 39-node power grid model and CPLEX, the effectiveness of the method in this paper against wind power accommodation and load loss was simulated and verified.