FNET/GridEye: A Tool for Situational Awareness of Large Power Interconnetion Grids
Paper
Paper/Presentation Title | FNET/GridEye: A Tool for Situational Awareness of Large Power Interconnetion Grids |
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Presentation Type | Paper |
Authors | Zhu, Lin (Author), You, Shutang (Author), Yin, He (Author), Zhao, Yinfeng (Author), Li, Fuhua (Author), Yao, Wenxuan (Author), O'Reilley, Chris (Author), Yu, Wenpeng (Author), Zeng, Chujie (Author), Deng, Xianda (Author), Zhao, Yi (Author), Cui, Yi (Author), Zhang, Yao (Author) and Liu, Yilu (Author) |
Journal or Proceedings Title | Proceedings of the 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) |
Number of Pages | 5 |
Year | 2020 |
Place of Publication | Delft, Netherlands |
ISBN | 9781728171005 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ISGT-Europe47291.2020.9248857 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/9248857 |
Conference/Event | 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) |
Event Details | 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Parent IEEE PES Innovative Smart Grid Technologies Conference Delivery In person Event Date 26 to end of 28 Oct 2020 Event Location Delft, Netherlands |
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. |
Keywords | Data analytics; PMU; Power grid; Situational awareness |
ANZSRC Field of Research 2020 | 460299. Artificial intelligence not elsewhere classified |
400808. Photovoltaic power systems | |
400803. Electrical energy generation (incl. renewables, excl. photovoltaics) | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | University of Tennessee, United States |
Oak Ridge National Laboratory, United States | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7w09/fnet-grideye-a-tool-for-situational-awareness-of-large-power-interconnetion-grids
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