DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A Distribution Level Wide Area Monitoring System for the Electric Power Grid–FNET/GridEye

Abstract

The wide area monitoring system (WAMS) is considered a pivotal component of future electric power grids. As a pilot WAMS that has been operated for more than a decade, the frequency monitoring network FNET/GridEye makes use of hundreds of global positioning system-synchronized phasor measurement sensors to capture the increasingly complicated grid behaviors across the interconnected power systems. In this paper, the FNET/GridEye system is overviewed and its operation experiences in electric power grid wide area monitoring are presented. Particularly, the implementation of a number of data analytics applications will be discussed in details. FNET/GridEye lays a firm foundation for the later WAMS operation in the electric power industry.

Authors:
ORCiD logo [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. Univ. of Tennessee, Knoxville, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1399393
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Access
Additional Journal Information:
Journal Volume: 5; Journal ID: ISSN 2169-3536
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; dynamics; power grids; phasor measurement units; wide area measurements

Citation Formats

Liu, Yong, You, Shutang, Yao, Wenxuan, Cui, Yi, Wu, Ling, Zhou, Dao, Zhao, Jiecheng, Liu, Hesen, and Liu, Yilu. A Distribution Level Wide Area Monitoring System for the Electric Power Grid–FNET/GridEye. United States: N. p., 2017. Web. doi:10.1109/ACCESS.2017.2666541.
Liu, Yong, You, Shutang, Yao, Wenxuan, Cui, Yi, Wu, Ling, Zhou, Dao, Zhao, Jiecheng, Liu, Hesen, & Liu, Yilu. A Distribution Level Wide Area Monitoring System for the Electric Power Grid–FNET/GridEye. United States. https://doi.org/10.1109/ACCESS.2017.2666541
Liu, Yong, You, Shutang, Yao, Wenxuan, Cui, Yi, Wu, Ling, Zhou, Dao, Zhao, Jiecheng, Liu, Hesen, and Liu, Yilu. Thu . "A Distribution Level Wide Area Monitoring System for the Electric Power Grid–FNET/GridEye". United States. https://doi.org/10.1109/ACCESS.2017.2666541. https://www.osti.gov/servlets/purl/1399393.
@article{osti_1399393,
title = {A Distribution Level Wide Area Monitoring System for the Electric Power Grid–FNET/GridEye},
author = {Liu, Yong and You, Shutang and Yao, Wenxuan and Cui, Yi and Wu, Ling and Zhou, Dao and Zhao, Jiecheng and Liu, Hesen and Liu, Yilu},
abstractNote = {The wide area monitoring system (WAMS) is considered a pivotal component of future electric power grids. As a pilot WAMS that has been operated for more than a decade, the frequency monitoring network FNET/GridEye makes use of hundreds of global positioning system-synchronized phasor measurement sensors to capture the increasingly complicated grid behaviors across the interconnected power systems. In this paper, the FNET/GridEye system is overviewed and its operation experiences in electric power grid wide area monitoring are presented. Particularly, the implementation of a number of data analytics applications will be discussed in details. FNET/GridEye lays a firm foundation for the later WAMS operation in the electric power industry.},
doi = {10.1109/ACCESS.2017.2666541},
journal = {IEEE Access},
number = ,
volume = 5,
place = {United States},
year = {Thu Feb 09 00:00:00 EST 2017},
month = {Thu Feb 09 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 35 works
Citation information provided by
Web of Science

Save / Share:

Works referencing / citing this record:

Power Grid Estimation Using Electric Network Frequency Signals
journal, September 2019

  • Bang, Woorim; Yoon, Ji Won
  • Security and Communication Networks, Vol. 2019
  • DOI: 10.1155/2019/1982168