Low-delay transmission technology in 5G distribution network differential protection

Jin Zhao; Shengyang Nie; Chunyu Mu; Yichao Li

doi:10.1117/12.2684735

19 October 2023 Low-delay transmission technology in 5G distribution network differential protection

Jin Zhao, Shengyang Nie, Chunyu Mu, Yichao Li

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127092M (2023) https://doi.org/10.1117/12.2684735
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

To reduce the transmission latency of the grid differential protection scenario, a low-latency data transmission technique is proposed in this paper. A multi-path low latency routing optimization strategy based on task assignment is considered to find the optimal and sub-optimal transmission paths in the current network environment with the transmission latency as the weight, and then jointly assign the number of tasks to be transmitted on both paths according to their link bandwidth, node queue length, and other network resources to achieve multi-path task transmission and minimize the task transmission latency. The simulation results show that the proposed multi-path task transmission has lower transmission delay and higher network resource utilization than single-path task transmission and evenly split task transmission.

Citation Download Citation

Jin Zhao, Shengyang Nie, Chunyu Mu, and Yichao Li "Low-delay transmission technology in 5G distribution network differential protection", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127092M (19 October 2023); https://doi.org/10.1117/12.2684735

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