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White Rabbit HSR: A Seamless Subnanosecond Redundant Timing System With Low-Latency Data Capabilities for the Smart Grid

机译：白兔高铁：智能电网具有低延迟数据功能的无缝亚纳秒冗余计时系统

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摘要

New smart grid and industrial-Internet-of-things (IIoT) directions require accurate synchronization features to capture, trigger, and manage events in industrial networks with the best possible precision and accuracy. The implementation of redundancy features for time and data distribution to increase fault tolerance, together with an enhancement of the availability of the network services such as generic object-oriented substation events, become mandatory due to their critical nature. For these reasons, the authors of this paper presented a new challenging approach covering the industrial standards requirements regarding timing and availability through the development of mechanisms that make possible the avoidance of single point of failure in ring topologies. This approach uses the White Rabbit (WR) as the main timing distribution technology, able to synchronize devices below 1 ns. Moreover, the development of a mechanism able to change from a primary to a backup time reference in approximately zero time with an observed maximum phase shift of 170 ps implies an important qualitative leap with respect to IIoT and the smart grid (e.g., phasor measurement units). This paper addresses the development and results of the high-availability seamless redundancy protocol for the WR technology to conform a leading-edge deterministic and reliable ultraaccurate timing system with high-availability data features for industrial facilities in accordance with IEC 61850 and IEC 62439-3.
机译：新的智能电网和工业物联网（IIoT）方向需要精确的同步功能，以尽可能高的精度和准确性捕获，触发和管理工业网络中的事件。由于时间和数据分配的冗余特性至关重要，因此必须执行时间和数据分配冗余功能以提高容错能力，并增强诸如通用的面向对象变电站事件之类的网络服务的可用性。由于这些原因，本文的作者提出了一种新的具有挑战性的方法，该方法通过开发可以避免环形拓扑中单点故障的机制来满足有关时序和可用性的工业标准要求。这种方法使用白兔（WR）作为主要的时序分配技术，能够同步1 ns以下的设备。此外，能够在大约零时间内从主时间基准更改为备用时间基准且观察到的最大相移为170 ps的机制的发展，意味着相对于IIoT和智能电网（例如，相量测量单元）的重要的质的飞跃）。本文介绍了WR技术的高可用性无缝冗余协议的开发和结果，该协议将符合IEC 61850和IEC 62439-3的具有工业设备高可用性数据特征的先进的确定性和可靠的超精确定时系统相结合。

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