Abstract: The implementation of frequency and voltage support control of renewable energy station can suppress fluctuations after the disturbance. However, the reality of strong coupling between the boundaries of active and reactive power support capacity is overlooked by solely optimizing frequency or voltage. Therefore, this paper proposes a frequency-voltage cooperative control method for renewable energy station based on situational awareness of local electrical quantities, using model predictive control algorithm. First, based on the station structures and power response measured data, an approximate characterization of the dynamic control response of the wind power/photovoltaic/energy storage modules is completed. Next, a cooperative support control model of the grid-connected point is established to address the issues of frequency support for source-network coupling interaction and voltage control for local measurement requirements. Taking into account the time-varying support requirements of frequency and voltage, a dynamic matching mechanism of target weights is proposed, and then a control strategy is developed considering the grid support capability and the regulation cost of the station. Subsequently, a simplified solution method and implementation steps of the control strategy are presented. Finally, taking the improved IEEE 9-bus System as an example, the validation is verified. The results show that this method can coordinate the active and reactive power regulation ability and realize the voltage and frequency cooperative support.