In response to the difficulties faced by the power system in wind power consumption and the shortage of regulation capacity, this article establishes a robust optimization scheduling model for source load distribution that takes into account green certificate carbon trading. Firstly, green certificate trading mechanism and carbon trading mechanism are introduced on the power supply side to enhance the grid connected power of wind power, and high load capacity is introduced on the load side to improve the system regulation capability; Secondly, in order to reduce the impact of uncertain wind power output, a datadriven distributed robust method is adopted to construct a probability distribution uncertainty set based on historical wind power output data, and then optimize the worstcase scenario using column constraint generation algorithm; Finally, based on the IEEE 39 node system, the verification results show that by integrating adjustable resources from both the source and load sides for collaborative optimization, it is possible to promote wind power consumption while ensuring good regulation capability of the power system.