Abstract: In allusion to the inevitable participation of new energy generation forms such as wind power and photothermal power in the main and auxiliary electricity markets, as well as the task of frequency regulation, alleviating the shortage of frequency regulation resources caused by the decrease in the proportion of thermal power, firstly, a virtual power plant with wind power, adjustable load and concentrating solar power plant with thermal storage was constructed, which makes full use of the energy time-lapse and rapid regulation characteristics of the concentrating solar power plant with thermal storage to realize the dual functions of suppressing wind power fluctuations and providing frequency modulation auxiliary services. Secondly, in order to maximize the revenue, the single and joint bidding models of concentrating solarpower plant and windpower were established; The optimal bidding strategy of virtual power plants participating in the main and auxiliary markets considering the electric heat conversion and demand response was proposed. The uncertainty of electricity prices and wind power output in the model was dealt with using stochastic programming and conditional risk value assessment, and the advantages and disadvantages of the two were analyzed. Decision results under different risk preference coefficients were given. Finally, the example verifies that the wind-photothermal joint bidding model can reduce wind power deviation penalties to a certain extent; The introduction of electric heating devices and demand response can bring high revenue improvements to virtual power plants.