An Alternative Timing and Synchronization Approach for Situational Awareness and Predictive Analytics

Supriya Chinthavali, S. M.Shamimul Hasan, Srikanth Yoginath, Haowen Xu, Phil Nugent, Terry Jones, Cozmo Engebretsen, Joseph Olatt, Varisara Tansakul, Carter Christopher, Yarom Polsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Accurate and synchronized timing information is required by power system operators for controlling the grid infrastructure (relays, Phasor Measurement Units (PMUs), etc.) and determining asset positions. Satellite-based global positioning system (GPS) is the primary source of timing information. However, GPS disruptions today (both intentional and unintentional) can significantly compromise the reliability and security of our electric grids. A robust alternate source for accurate timing is critical to serve both as a deterrent against malicious attacks and as a redundant system in enhancing the resilience against extreme events that could disrupt the GPS network. To achieve this, we rely on the highly accurate, terrestrial atomic clock-based network for alternative timing and synchronization. In this paper, we discuss an experimental setup for an alternative timing approach. The data obtained from this experimental setup is continuously monitored and analyzed using various time deviation metrics. We also use these metrics to compute deviations of our clock with respect to the National Institute of Standards and Technologys (NIST) GPS data. The results obtained from these metric computations are elaborately discussed. Finally, we discuss the integration of the procedures involved, like real-time data ingestion, metric computation, and result visualization, in a novel microservices-based architecture for situational awareness.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science, IRI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages172-177
Number of pages6
ISBN (Electronic)9781665466035
DOIs
StatePublished - 2022
Event23rd IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2022 - Virtual, Online, United States
Duration: Aug 9 2022Aug 11 2022

Publication series

NameProceedings - 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science, IRI 2022

Conference

Conference23rd IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2022
Country/TerritoryUnited States
CityVirtual, Online
Period08/9/2208/11/22

Funding

VII. ACKNOWLEDGMENT This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript or allow others to do so, for the US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

FundersFunder number
U.S. Department of Energy

    Keywords

    • Allan Deviation
    • Alternative Timing
    • Atomic clock
    • Global Positioning System
    • Maximum Time Interval Error

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