Research on Maximum Delay of Time-sensitive Network Based on GCL Adaptive Adjustment

5G+ deterministic network plays important role in the power system. Time sensitive network(TSN) related technologies meet the real time transmission of time-triggered power flows. In this paper, we firstly propose a network calculus based model for analyzing network maximum delays, which utilizing service curves and arrival curves to determine the upper threshold of TSN end-to-end delays by the time-aware shaper (TAS) mechanism. This model simplifies the evaluation of delay performance when compared to conventional random queuing methods. Secondly, since the service curve relies on the gate control list (GCL) configuration, this requires accurately calculating gate durations for different service flows and the precise open/close time for each queue. To tackle this challenge, this paper presents a GCL adaptive adjustment algorithm, which can identify the minimum of maximum delays by configuring gating parameters optimally. Thirdly, we use Matlab to analyze high-priority flow maximum delays across different GCL configurations, examining the effects of service flows, overlap times, gate open durations, and time intervals. Furthermore, we employ the OMNeT++ platform to conduct network simulations under predefined GCL gating settings. The results show that high-priority flows maintain an end-to-end delay below the optimized maximum delay value, consistently confirming the effectiveness of the proposed TSN delay analysis model and GCL adaptive adjustment algorithm.