Research on Communication Delay Optimization between Large-scale Power Grid and Power System Based on Control Theory Method

With the continuous expansion of the scale of the power system and the rapid development of smart grid, distributed energy and demand-side response technology, the role of power grid communication system in real-time scheduling, control and monitoring is becoming increasingly critical. Traditional power communication systems often face problems such as high communication delay, uncontrollable jitter, and difficult to ensure authenticity in complex dynamic environments, which seriously affect the stability and security of the system. Due to its advantages in system modeling, state estimation and dynamic compensation, the control theory method provides a new research path for power communication delay optimization. This paper proposes a network control method that integrates control and communication collaborative optimization, covering latency modeling and impact analysis, event triggering and predictive compensation control, edge computing and time-sensitive network (TSN) scheduling, and authenticity and security mechanism integration. By constructing an integrated verification platform of "simulation-hardware-in-the-loop (HIL)-physical prototype", the performance is evaluated in the IEEE 39-node system and the actual power grid environment. Experimental results show that the proposed method can significantly reduce communication delay and jitter, improve control performance and system robustness, and provide a systematic solution for the real-time performance and security of smart grid.