In order to face the challenge of large-scale integration of new energy into the power grid with uncertainty to the traditional electricity market

and to address the problems of long time scales and low returns of new trading entities in the clearing strategy of the traditional electricity market

a clearing strategy considering the uncertainty of wind-solar-thermal-storage combined power generation system is proposed to participate in the joint trading of electricity spot market and frequency regulation auxiliary service market. Firstly

the sample scenes are processed using Latin hypercube sampling and Kantorovich distance reduction to generate typical wind solar power output scenarios. A wind-solar-thermal-storage combined power generation system with the goal of minimizing power generation costs is proposed to participate in the joint trading clearing strategy of electricity spot market and frequency regulation auxiliary service market

taking the generated typical wind and solar output scenarios as the research object. The model is solved by alternating direction method of multipliers (ADMM). Finally

a corresponding mathematical model is built in the IEEE 39-node system

and simulation verification is carried out using wind and solar data from a certain location in northwest China as an example. The results show that the strategy can allocate energy output reasonably and improve energy utilization efficiency and the profits of various trading entities. The results verify the effectiveness of the strategy.