The invention provides a photo-thermal power station day-ahead optimization scheduling method considering an electric power auxiliary service market, and provides a day-ahead optimization scheduling method for determining the photo-thermal power station operation plan considering the environment of the electric power auxiliary service market. Firstly, the photo-thermal power station obtains the size of the light source hour by hour of the coming 24 hours according to a light resource prediction system. Secondly, an objective function is determined through combination of the hourly electricityprice and the peak compensation electricity price of the coming 24 hours issued by a scheduling center with the maximum income of the photo-thermal power station acting as the target. Finally the objective function is substituted in the established photo-thermal power station scheduling optimization model to calculate the solution so as to obtain the hourly active output plan of the photo-thermalpower station and the storage tank charge and discharge strategy of the coming 24 hours. With application of the method, the power station and heat storage system are enabled to operate in an optimized way so that the effect of the heat storage system can be fully exerted and the power station is enabled to obtain the maximum income.