The power industry, as the core carbon emission source, is facing the pressure of low carbon transformation. This paper focuses on the collaborative carbon reduction effect of carbon capture technologyCarbon capture technology in multi-regional interconnected systems, and constructs a system operation architecture and modeling framework for low-carbon collaborative requirements. Based on this, this paper constructs a multi-regional distributed low-carbon optimal scheduling model for carbon capture power plants. The upper model aims at minimizing the cross-regional power deviation, and the superior dispatching agency coordinates the power exchange between regions. The lower model aims at minimizing the operating cost of the system, and the regional power grids make decisions independently and coordinate with the main problems of the superior dispatching institutions. Finally, the promotion effect of carbon tradingCarbon trading mechanism and carbon capture technologyCarbon capture technology on multi-regional collaborative carbon reduction is verified by simulation, and the balance between economy and low carbon is realized. In addition, this paper quantifies the impact of carbon tradingCarbon trading mechanism and carbon capture power plants on the scheduling results through sensitivity analysis, which provides theoretical support and practical guidance for the low-carbon operation of multi-area interconnected systems.