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基于贪心算法的TSN-SPQ混合调度策略在变电站通信中的应用研究

杨志 赵禹博 李保罡 赵锦伟

电力系统保护与控制2026,Vol.54Issue(11):84-92,9.
电力系统保护与控制2026,Vol.54Issue(11):84-92,9.DOI:10.19783/j.cnki.pspc.250804

基于贪心算法的TSN-SPQ混合调度策略在变电站通信中的应用研究

Research on the application of TSN-SPQ hybrid scheduling strategy based on greedy algorithm in substation communications

杨志 1赵禹博 1李保罡 1赵锦伟1

作者信息

  • 1. 华北电力大学电子与通信工程系,河北 保定 071003||河北省电力物联网技术重点实验室(华北电力大学),河北 保定 071003
  • 折叠

摘要

Abstract

To meet the requirements of low-latency,high determinism,and high reliability in smart substations,and to enhance adaptability to dynamic mixed traffic,this paper proposes a greedy-algorithm-based TSN-SPQ hybrid scheduling strategy.It integrates time-sensitive networking(TSN)technology with the strict priority queuing(SPQ)mechanism,and differentiates transmission paths according to message priority levels.It ensures deterministic transmission for high-priority messages while improving bandwidth utilization efficiency for low-priority traffic.A greedy algorithm is introduced to dynamically allocate time-slot windows in the TSN gate control list,prioritizing high-priority demands.This enables dynamic,conflict-free time-slot allocation and efficient bandwidth reuse under burst traffic scenarios.Furthermore,based on network calculus theory,the end-to-end delay upper bound of the hybrid scheduling strategy is rigorously derived.Simulation studies are conducted to compare the performance of different scheduling strategies.The results demonstrate that the proposed strategy significantly enhances the adaptability of smart substations to dynamic and complex traffic scenarios,providing critical technical support for their stable and reliable operation.

关键词

时间敏感网络/贪心算法/智能变电站/流量调度/网络演算理论

Key words

time-sensitive network/greedy algorithms/smart substation/traffic scheduling/network calculus theory

引用本文复制引用

杨志,赵禹博,李保罡,赵锦伟..基于贪心算法的TSN-SPQ混合调度策略在变电站通信中的应用研究[J].电力系统保护与控制,2026,54(11):84-92,9.

基金项目

This work is supported by the National Natural Science Foundation of China(No.62471181). 国家自然科学基金项目资助(62471181) (No.62471181)

电力系统保护与控制

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