FNET/GridEye: A Tool for Situational Awareness of Large Power Interconnetion Grids

Conference · Thu Oct 01 04:00:00 UTC 2020

OSTI ID:1771877

Zhu, Lin ^[1]; You, Shutang ^[1]; Yin, He ^[1]; Zhao, Yinfeng ^[2]; Li, Fuhua ^[2]; Yao, Wenxuan ^[2]; O'Reilley, Chris ^[1]; Yu, Wenpeng ^[2]; Zeng, Chujie ^[2]; Deng, Xianda ^[2]; Zhao, Yi ^[2]; CUI, YI ^[2]; Zhang, Yao ^[2]; Liu, Yilu ^[1]

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1. ORNL
2. University of Tennessee, Knoxville (UTK)

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.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1771877
• Country of Publication: United States
• Language: English