In order to ensure the safe gridconnected operation of all DC wind power system, the system voltage stability control is crucial. At present, when the DC voltage stability control of all DC wind power system adopts the proportionalintegral (PI) control, the dynamic response speed is relatively slow under the nonnormal operation condition, the control accuracy is not high enough, and the PI parameter is more and more cumbersome and complicated to be calibrated. To address the above problems, this paper proposes a system DC voltage stabilization control strategy based on the principle of Finite Control SetModel Predictive Control (FCSMPC) to control the switching state of transistors of bridge arms of the system converter. The strategy combines the current prediction models of machineside rectifiers and gridconnected inverters, constructs a cost function with the output current of the converter as the control variable, takes the cost function as the optimization objective, introduces the delay compensation to improve the control accuracy in order to avoid the control delay caused by the computational delay, and introduces the weight coefficients to realize the multiobjective optimization, and generates the optimal switching combinations of the signals to trigger the converter through the traversal calculation. In this paper, the simulation model of all DC wind power system is established in Matlab/Simulink, and the proposed strategy is compared with the traditional PI control in different working conditions, and the simulation results effectively verify the static and dynamic performance of the proposed control strategy.