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- W3208654959 abstract "Large-scale power systems exhibit more complex dynamics due to the increasing integration of inverter-based resources (IBRs). Therefore, there is an urgent need to enhance the situational awareness capability for better monitoring and control of power grids dominated by IBRs. As a pioneering Wide-Area Measurement System, FNET/GridEye has developed and implemented various advanced applications based on the collected synchrophasor measurements to enhance the situational awareness capability of large-scale power grids. This study provides an overview of the latest progress of FNET/GridEye. The sensors, communication, and data servers are upgraded to handle ultra-high density synchrophasor and point-on-wave data to monitor system dynamics with more details. More importantly, several artificial intelligence (AI)-based advanced applications are introduced, including AI-based inertia estimation, AI-based disturbance size and location estimation, AI-based system stability assessment, and AI-based data authentication." @default.
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- W3208654959 date "2021-10-24" @default.
- W3208654959 modified "2023-10-14" @default.
- W3208654959 title "Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources" @default.
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- W3208654959 doi "https://doi.org/10.1049/hve2.12157" @default.
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