Abstract: The large-scale increase in renewable energy generation and the superposition of various uncertainties have posed severe challenges to power systems. This paper studies representative energy sources, analyzes the factors affecting the large-scale integration of renewable energy under power system stability conditions, screens key factors based on grey correlation analysis and XGBoost, and constructs a prediction model for the large-scale integration of renewable energy. The proposed model is verified by a regional power system. The results show that the proposed is feasible and can provide a reference for the reasonable and effective power planning of new power systems.