After a high proportion of wind power is connected to the power grid, the uncertainty of the active power of wind power brings new challenges to the power system dispatching decision, and increases the contradiction between the economics and risk of system operation. Aiming at this problem, this paper proposes a robust real-time dispatching method that considers wind power acceptance risk. First, from the perspective of operational risk, based on the probability characteristics of wind power output, the conditional system risk (CSR) index in the financial field is used to characterize the risk of wind power acceptance. Then, from the perspective of operating economy, considering the operation and reserve capacity costs of AGC units and wind power consumption benefits in real-time dispatching, representing the system operating costs. Finally, based on risk indicators and economic indicators, using robust optimization and stochastic optimization methods comprehensively, a robust real-time dispatching optimization model considering wind power acceptance risk is built, to obtain the operating base point and reserve capacity of AGC units, and the acceptable range of wind power, so as to ensure that the system risk is most unlikely to occur, while improving the system operation economy and enhancing wind power consumption. The validity of the method proposed in this paper is verified by the calculation and analysis of the IEEE30 node test system.