| 基于时间敏感网络的风电场通信网时延特性分析 |
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| 引用本文： | 高会生,于文思,韩东升.基于时间敏感网络的风电场通信网时延特性分析[J].现代电力,2021,38(4):465-472. |
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| 作者姓名： | 高会生 于文思 韩东升 |
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| 作者单位： | 华北电力大学电子与通信工程系，河北省 保定市 071003 |
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| 基金项目： | 国家电网公司科技项目(5700-201919238A-0-0-00)；国家自然科学基金项目(61771195) |
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| 摘 要： | 风电场通信系统由于数据采集范围广、数据类型较多等复杂因素，在依靠传统以太网通信时存在多信息流相互影响、数据传输实时性差等弊端，无法满足实时通信需求。提出了基于时间敏感网络（time-sensitive networking，TSN）的通信网络部署方案。首先，结合风电系统通信网络及数据分析了TSN技术的工作原理；然后根据TSN原理，推导出基于网络演算的端到端传输时延改进计算模型；其次，通过算例分析了门开时长和调度周期等参数对时延指标的影响；最后，对比分析了TSN与传统以太网时延差别。研究结果表明，通过合理配置参数，TSN具有可预测、低时延的特性，可为风电场高效通信网部署及网络资源优化分配提供了理论依据。
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| 关 键 词： | 时间敏感网络(TSN) 风电场 通信网络 网络演算 时延特性 |
| 收稿时间： | 2020-11-17 |
Analysis of Latency Characteristics of Wind Farm Communication Network Based on Time-Sensitive Networking |
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| Affiliation: | Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, Hebei Province, China |
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| Abstract: | In view of complex factors such as wide range of data collection and many types of data, there are defects existing in the communication relying on traditional Ethernet such as mutual effects of multi information streams, bad instantaneity of data transmission and so on, thus the demand of realtime communication cannot be satisfied. To improve such situation, a communication network deployment scheme based on time-sensitive networking (TSN) was proposed. Firstly, combining with communication network for wind power system and its data the working principle of TSN technology was analyzed, and according to the principle of TSN a network calculus-based improved end-to-end propagation delay computing model was derived. Secondly, by means of calculating example, the influences of such parameters as door opening time and dispatching cycle, etc., on latency index were analyzed. Finally, the contrastive analysis on latency differences between TSN and traditional Ethernet were performed. Results of this research show that by means of rational configuration of parameters, TSN possesses the characteristics of predictability and low latency, thus it provides theoretical foundation for the deployment of high efficient wind farm communication network and optimal allocation of network resources. |
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