Research Institute of Information Technology, Tsinghua University, Beijing 100084, China.
Sensors (Basel). 2018 Oct 24;18(11):3615. doi: 10.3390/s18113615.
With the rapid development of smart grid technologies, communication systems are further integrated in the existing power grids. The real-time capability and reliability of the power applications are receiving increasing concerns. Thus, it is important to measure the end-to-end delay in communication systems. The network calculus theory has been widely applied in the communication delay measuring tasks. However, for better operation performance of power systems, most power applications require synchronous data communication, in which the network calculus theory cannot be directly applied. In this paper, we expand the network calculus theory such that it can be used to analyze the communication delay for power applications in smart grids. The problem of communication delay calculation for the synchronization system is converted into a maximum path problem in graph theory. Finally, our theoretical results are compared with the experimental ones obtained with the network simulation software EstiNet. The simulation results verify the feasibility and effectiveness of the proposed method.
随着智能电网技术的快速发展，通信系统在现有电网中进一步融合。电力应用的实时性和可靠性受到越来越多的关注。因此，测量通信系统的端到端延迟非常重要。网络演算理论已广泛应用于通信延迟测量任务中。然而，为了获得更好的电力系统运行性能，大多数电力应用需要同步数据通信，在这种情况下，网络演算理论无法直接应用。在本文中，我们扩展了网络演算理论，使其能够用于分析智能电网中电力应用的通信延迟。将同步系统的通信延迟计算问题转化为图论中的最大路径问题。最后，我们将理论结果与使用网络仿真软件 EstiNet 获得的实验结果进行比较。仿真结果验证了所提出方法的可行性和有效性。
