Data-Driven Event Identification in the U.S. Power Systems Based on 2D-OLPP and RUSBoosted Trees

Accurate event identification is an essential part of situation awareness ability for power system operators. Therefore, this work proposes an integrated event identification algorithm for power systems. First, to obtain and filter suitable inputs for event identification, an event detection trigger...

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Veröffentlicht in:	IEEE transactions on power systems 2022-01, Vol.37 (1), p.94-105
Hauptverfasser:	Liu, Shengyuan, You, Shutang, Lin, Zhenzhi, Zeng, Chujie, Li, Hongyu, Wang, Weikang, Hu, Xuetao, Liu, Yilu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anisotropy Event detection Event identification Feature extraction FNET/Grid-Eye Frequency measurement Heuristic algorithms Phasor measurement units Power system dynamics Power systems random undersampling boosted (RUSBoosted) trees Situational awareness Trees Triangulation two-dimensional orthogonal locality preserving projection (2D-OLPP) Wave propagation
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