Recurrent Graph Convolutional Network-Based Multi-Task Transient Stability Assessment Framework in Power System

Recurrent Graph Convolutional Network-Based Multi-Task Transient Stability Assessment Framework in Power System

Reliable online transient stability assessment (TSA) is fundamentally required for power system operation security. Compared with time-costly classical digital simulation methods, data-driven deep learning (DL) methods provide a promising technique to build a TSA model. However, general DL models sh...

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Bibliographic Details
Main Authors:	Jiyu Huang, Lin Guan, Yinsheng Su, Haicheng Yao, Mengxuan Guo, Zhi Zhong
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Deep graph-based learning transient stability assessment (TSA) graph convolutional network (GCN) recurrent graph convolutional network (RGCN) multi-task learning (MTL)
Online Access:	https://ieeexplore.ieee.org/document/9081965/

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