FNET/GridEye for Future High Renewable Power Grids — Applications Overview
Paper
Paper/Presentation Title | FNET/GridEye for Future High Renewable Power Grids — Applications Overview |
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Presentation Type | Paper |
Authors | You, Shutang (Author), Zhao, Jiecheng (Author), Yao, Wenxuan (Author), Liu, Yong (Author), Cui, Yi (Author), Wu, Ling (Author), Guo, Jiahui (Author) and Liu, Yilu (Author) |
Journal or Proceedings Title | Proceedings of the 2018 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America (T and D-LA) |
Number of Pages | 5 |
Year | 2018 |
Place of Publication | Lima, Peru |
ISBN | 9781538658444 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/tdc-la.2018.8511657 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/8511657 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/8496894/proceeding |
Conference/Event | 2018 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America (T and D-LA) |
Event Details | 2018 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America (T and D-LA) Parent IEEE/PES Transmission and Distribution Conference and Exposition Delivery In person Event Date 18 to end of 21 Sep 2018 Event Location Lima, Peru |
Abstract | Integration of renewable generation sets high requirements for real-Time situational awareness of power systems. FNET/GridEye, a synchrophasor measurement network for wide-Area power system monitoring has been assisting realtime situational awareness and helping improve reliability in many power grids for 14 years. To aid operators confronting challenges from growing renewables, FNET/GridEye continues increasing its measurement accuracy and enhancing its functionalities. This paper provides an overview on the mostrecent FNET/GridEye application improvements that help power grid operation with high renewable penetration. The real-Time applications presented in this paper include event location, oscillation monitoring, inertia estimation, and islanding detection. |
Keywords | FNET/GridEye; power grid applications; renewable generation; synchrophasor |
ANZSRC Field of Research 2020 | 400803. Electrical energy generation (incl. renewables, excl. photovoltaics) |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
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/q7w1w/fnet-grideye-for-future-high-renewable-power-grids-applications-overview
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