Objective With the continuous promotion of the dual carbon target and the construction of a new type of power system dominated by new energy, the operation mode of the power system has become complex and varied, and its safe and stable operation faces enormous challenges., It is urgent to conduct in-depth research on multi-objective comprehensive optimization and collaborative scheduling technology for power systems under multiple power generation modes to enhance the grid's ability to absorb large-scale clean energy and the low-carbon and stable operation level of the power system.

Method In response to the above issues, this article proposes a new low-carbon dispatch technology for power systems based on electricity carbon collaborative control to achieve clean, low-carbon, and stable operation of the power grid. This article first analyzes the multi time scale regulation mechanism of the new power system, with the goal of achieving comprehensive optimization of power system operation and carbon emission costs. Taking into account various constraints of system operation, a multi-objective comprehensive optimization scheduling model that comprehensively considers power system operation costs and carbon emission costs is constructed. Based on the improved NSGA-II algorithm, the unit output is optimized to achieve the optimal balance between the operating costs and carbon emissions of the new power system.

Result Then, the convergence performance and target results of the algorithm were verified and analyzed. The results showed that, without causing excessive economic pressure, the algorithm proposed in this paper can effectively reduce carbon emissions by 7.2%, achieving the optimal allocation of power grid resources through economic environmental synergy.

Conclusion The multi-objective optimization scheduling model for electricity carbon collaboration proposed in this article can achieve the optimal balance of operating costs, carbon trading costs, and carbon capture costs, supporting the "dual carbon" goal.