A virtual power plant scheduling model based on information gap decision theory and demand response is proposed to solve the problem that the demand side resources can not be fully utilized and the wind and solar output and load are uncertain in power system. Firstly, in order to reduce the carbon emission of the system, the carbon trading mechanism was considered in the system; secondly, in order to promote the utilization of demand-side resources, incentive demand response and price demand response were introduced respectively for EV charging load and conventional electric load to build a comprehensive demand response mechanism; finally, based on the information gap decision theory, the load uncertainty in the system was quantified, and the corresponding uncertainty model was established. The results show that, considering carbon trading and integrated demand response, the operating cost of the system is reduced by 8.03%, which effectively promotes the economy and low carbon of the system; under the IGDT strategy, the virtual power plant operator can ensure the smooth operation of the system in the dispatching period when the comprehensive uncertainty of uncertain factors does not exceed 23.45% by cost reservation.