Hybrid Traffic Scheduling in 5G and Time-Sensitive Networking Integrated Networks for Communications of Virtual Power Plants

被引:2
|
作者
Wu, Junmin [1 ,2 ]
Liu, Chuan [1 ,2 ,3 ]
Tao, Jing [1 ,2 ]
Liu, Shidong [1 ,2 ]
Gao, Wei [4 ]
机构
[1] State Grid Smart Grid Res Inst Co Ltd, Beijing 102209, Peoples R China
[2] State Grid Lab Elect Power Commun Network Technol, Beijing 102209, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Cyber Sci & Engn, Wuhan 430074, Peoples R China
[4] China Elect Power Res Inst Co Ltd, Beijing 100192, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 13期
关键词
virtual power plant; 5G; time-sensitive networking; semi-persistent scheduling;
D O I
10.3390/app13137953
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The virtual power plant is one of the key technologies for the integration of various distributed energy resources into the power grid. To enable its smooth and reliable operation, the network infrastructure that connects the components for critical communications becomes a research challenge. Current communication networks based on the traditional Ethernet and long-term evolution cannot provide the required deterministic low latency or reliable communication services. This paper presents a three-layer virtual power plant communication architecture with 5G and time-sensitive networking integrated networks for both determinism and mobility. The service types and traffic requirements of the virtual power plant are analyzed and mapped between 5G and time-sensitive networking to guarantee their quality of service. This paper proposes a semi-persistent scheduling with reserved bandwidth sharing and a pre-emption mechanism for time-critical traffic to guarantee its bounded latency and reliability while improving the bandwidth utilization. The performance evaluation results show that the proposed mechanism effectively reduces the end-to-end delay for both time-triggered traffic and event-triggered traffic compared with the dynamic scheduling method. For event-triggered traffic, the proposed mechanism has comparable end-to-end delay performance to the static scheduling method. It largely improves the resource utilization compared to the static scheduling method when the network load becomes heavy. It achieves an optimum performance tradeoff between delay and resource utilization when the percentage of the reserved resource blocks is 30% in the simulation.
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页数:17
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