Abstract:Fully excavating the flexibility potential of the power system systems can effectively improve its renewable energy consumption. The carbon capture power plant can not only reduce carbon emissions in power systems but also provide a potential flexible regulation capacity. Accordingly, this paper establishes the flexible regulation models of the demand response and the carbon capture power plant and then introduces them to the scheduling operation of power systems. A multi-time scale rolling optimization method considering the multi-flexible resources is proposed to minimize the total operating cost of the power system. In the day-ahead scheduling stage, the demand response and flexible regulation of the carbon capture power plant are used to shift load demand to achieve the low-carbon economic operation of power systems. In the intra-day scheduling stage, model predictive control is employed to correct the day-ahead scheduling plan to ensure real-time power balance. The results show that the demand response and the flexible regulation of carbon capture power plants can increase the consumption of renewable energy and then reduce the total cost by 18.7% and 1.4%, respectively. In addition, the synergy between the carbon capture power plant and the demand response can reduce the total cost of the power system by 20.1%. The study results testify that the demand response and the carbon capture power plant can significantly increase renewable energy consumption and reduce the total cost of power systems.