FNET/GridEye: A tool for situational awareness of large power interconnetion grids

Lin Zhu, Shutang You, He Yin, Yinfeng Zhao, Fuhua Li, Wenxuan Yao, Chris O'Reilley, Wenpeng Yu, Chunjie Zeng, Xianda Deng, Yi Zhao, Yi Cui, Yao Zhang, Yilu Liu

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

8 Scopus citations

Abstract

This paper gives an overview of a wide-area measurement system deployed at the distribution level: FNET/GridEye, which consists of hundreds of sensors, communication and a data center. The sensors are utilized to take frequency, voltage phase angle and magnitude measurements from the ordinary 110 or 220V outlets in offices or residential houses. These measurements are continuously transmitted to the data center via Internet. Many applications have been implemented to monitor large-scale interconnected power grids, and interpret grid operation status to improve system operators' situational awareness capability. Some representative online and offline applications are presented in this paper, as well as several recently developed new applications.

Original languageEnglish
Title of host publicationProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
PublisherIEEE Computer Society
Pages379-383
Number of pages5
ISBN (Electronic)9781728171005
DOIs
StatePublished - Oct 26 2020
Event10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 - Delft, Netherlands
Duration: Oct 26 2020Oct 28 2020

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe
Volume2020-October

Conference

Conference10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
Country/TerritoryNetherlands
CityDelft
Period10/26/2010/28/20

Funding

This work made use of Engineering Research Center shared facilities supported by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program.

FundersFunder number
National Science FoundationEEC-1041877
U.S. Department of Energy

    Keywords

    • Data analytics
    • PMU
    • Power grid
    • Situational awareness

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