Risk Early Warning of Power Systems With Partial State Observations Based on the Graph Attention Neural Network

Author:

Wang Qin1,Li Donghong1,Zhang Xi1,Fan Xiujuan2

Affiliation:

1. School of Automation, Beijing Institute of Technology,Beijing,China,100081

2. State Grid Information & Communication CO. LTD.,Chengdu,China,610041

Publisher

IEEE

Reference7 articles.

1. A survey on the micro-phasor measurement unit in distribution networks;dusabimana;Electronics,2020

2. A risk-aware generation dispatch including wind power for a power grid subjected to hurricanes

3. Analysis on large-scale blackout occurred in south america and north mexico interconnected power grid on sept. 8, 2011 and lessons for electric power dispatching in china;geli;Power System Technology,2012

4. Research on Fault Early Warning Technology of Key Operation Nodes in Power Communication Network

5. Construction and Training of Cloud Computing-Based Smart Grid Operation Risk Early Warning Model

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