According to the adjustment agility of the load aggregator

the interrupt load is divided into two categories

and a virtual power plant model based on demand response is constructed.On this basis

the operating cost of the new energy power system with minimum wind power is the optimization goal

and a twostage optimal scheduling model involving demand response virtual power plant is established. Based on the premise of optimizing the model to meet the system backup

the scheduling of different types of interruptible loads in the day before and during the day is studied in the range of 24 time periods. In particular

the effects of different wind power prediction error admission thresholds on interruptible load calls are considered. The results of the example show that the proposed model can reduce the operating cost of the new energy power system and determine the number of annual interruptions of the interruptible load.