Abstract: Due to the significant seasonal contradiction of power supply and demand in the power grid, SEE（seasonal energy storage） has become a key technology to solve the problem of long term new energy consumption. Considering the long and short time scale requirements of seasonal scheduling, a two-layer model is constructed with the SEE contract electricity as the connecting point and the splitting point. The upper layer is the generation capacity adequacy margin model of the power system, and the long term goal of seasonal energy storage is divided. By mapping the seasonal characteristics of power system with generation capacity adequacy margin, the function is to balance the fluctuation of adequacy margin in long period as the target construction function. The upper layer model is solved by using line-up competition algorithm, and the algorithm is improved according to the high dimensional characteristics of the model. The lower layer is a two-stage stochastic programming model, which uses the scenario method to transform the uncertainty problem of the wind-landscape load into a deterministic problem, and uses Cplex to solve it, completing the fine scheduling in a short period. In addition, considering the coordinated operation requirements of long and short term energy storage, the energy distribution of hybrid energy storage is carried out based on the principle of power demand and state of charge. Finally, an example is constructed with the actual data to verify the feasibility of applying the two-layer model to the scheduling research of the wind power-photovoltaic-thermal power and mixed storage system including seasonal energy storage. Through the coordination of the two-layer model, the seasonal fluctuation of the combined system is significantly reduced, and the range of the original curve is reduced from 0. 633 9 to 0. 376 0, about 40. 68%.And the overall level of adequacy was significantly improved, and the average of the adequacy margin was increased from the original 0. 443 4 to 0. 637 2, an increase of about 43. 71%. The adequacy index can effectively map the supply and demand level of the medium and long term system. The seasonal energy storage contract decomposition scheduling model based on adequacy can be applied to the wind and fire storage system with seasonal energy storage, and has a significant effect on smoothing out the seasonal fluctuations of the power system.