Improving reliability of IEEE1588 in electric substation automation

J. Tournier, Xiaomin Yin
{"title":"Improving reliability of IEEE1588 in electric substation automation","authors":"J. Tournier, Xiaomin Yin","doi":"10.1109/ISPCS.2008.4659215","DOIUrl":null,"url":null,"abstract":"The IEEE 1588 precision time protocol seems to be a promising way to handle synchronization requirements of tomorrow substation automation. However, one of the remaining issues is its lack of reliability in case of the loss of the GPS signal (e.g. due to atmospheric disturbances or failure of the GPS antenna) which would lead to the desynchronization of the devices inside a substation or between different substations. To keep the devices synchronized without the GPS signal, this paper explores different drift clock prediction techniques. Three main approaches based on statistical, probabilistic and time series techniques are evaluated. On one hand, a statistical-based prediction technique can easily reach an accuracy of less than 10 musec for a prediction duration of a couple of seconds at a minimal computing cost. On the other hand, a time series-based prediction technique can provide an accuracy of 76 musec over a period of 48 hours but at a much higher computing power cost. Finally, we identify the most suitable technique for different type of GPS signal loss that typically occurs in the context of substation automation.","PeriodicalId":428276,"journal":{"name":"2008 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control and Communication","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control and Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPCS.2008.4659215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

Abstract

The IEEE 1588 precision time protocol seems to be a promising way to handle synchronization requirements of tomorrow substation automation. However, one of the remaining issues is its lack of reliability in case of the loss of the GPS signal (e.g. due to atmospheric disturbances or failure of the GPS antenna) which would lead to the desynchronization of the devices inside a substation or between different substations. To keep the devices synchronized without the GPS signal, this paper explores different drift clock prediction techniques. Three main approaches based on statistical, probabilistic and time series techniques are evaluated. On one hand, a statistical-based prediction technique can easily reach an accuracy of less than 10 musec for a prediction duration of a couple of seconds at a minimal computing cost. On the other hand, a time series-based prediction technique can provide an accuracy of 76 musec over a period of 48 hours but at a much higher computing power cost. Finally, we identify the most suitable technique for different type of GPS signal loss that typically occurs in the context of substation automation.
提高IEEE1588在变电站自动化中的可靠性
IEEE 1588精确时间协议似乎是处理未来变电站自动化同步需求的一种很有前途的方法。然而,剩下的一个问题是,在GPS信号丢失的情况下(例如,由于大气干扰或GPS天线故障),它缺乏可靠性,这将导致变电站内或不同变电站之间的设备不同步。为了在没有GPS信号的情况下保持设备同步,本文探索了不同的漂移时钟预测技术。评估了基于统计、概率和时间序列技术的三种主要方法。一方面,基于统计的预测技术可以很容易地以最小的计算成本在几秒钟的预测持续时间内达到小于10毫秒的精度。另一方面,基于时间序列的预测技术可以在48小时内提供76毫秒的精度,但计算能力成本要高得多。最后,我们确定了在变电站自动化背景下通常发生的不同类型的GPS信号丢失的最合适的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信