Abstract: In view of the characteristics of wind power prediction accuracy gradually increasing with the time scale and taking advantages of stochastic optimization and adjustable robust optimization, this thesis presented a stochastic ＆ adjustable robust hybrid scheduling model. In the model, the stochastic programming and the adjustable robust optimization were effectively integrated together and realized the coordinated optimization of the power supply side resources and demand response resources. Finally, the examples of PJM-5 bus system verified the validity of the model. Comparing with models based on only stochastic programming or adjustable robust optimization, the proposed model can decrease total dispatch costs. Besides, some parameters such as value of lost load may affect the optimal transition time.