Abstract: To explore the influence mechanism and control strategies of electrical automation technology on power system stability under renewable energy grid-connected conditions, a "master station—region—local" three-tier collaborative architecture was constructed. The dynamic regulation logic of key dimensions such as voltage stability, frequency response, power balance, and fault recovery was systematically analyzed. By establishing an optimization model based on sensitivity matrix, virtual inertia compensation, and multi-source power allocation, the operational boundaries and response mechanisms of automation control units across different time scales were clarified. Combined with a simulation case from a wind-solar-storage-transmission integrated base in Northwest China, the performance of the control strategy in voltage recovery, frequency suppression, and fault rapid reconfiguration was verified. The results demonstrate that the electrical automation system integrating perception—control—communication can effectively enhance the system’s robustness against disturbances, mitigate the inertia degradation and stability risks introduced by renewable energy integration, and exhibit significant advantages in improving system dynamic performance and resource coordination efficiency.