A Review on Artificial Intelligence for Grid Stability Assessment

Conference · Sun Nov 01 04:00:00 EST 2020

DOI:https://doi.org/10.1109/SmartGridComm47815.2020.9302990· OSTI ID:1771880

You, Shutang ^[1]; Zhao, Yinfeng ^[2]; Mandich, Mirka ^[2]; CUI, YI ^[2]; Li, Hongyu ^[2]; Xiao, Huangqing ^[1]; Fabus, Summer F. ^[1]; Su, Yu ^[2]; Liu, Yilu ^[1]; Yuan, Haoyu ^[3]; Jiang, Huaiguang ^[4]; Tan, Jin ^[4]; Zhang, Yingchen ^[4]

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1. ORNL
2. University of Tennessee, Knoxville (UTK)
3. University of Tennessee (UT)
4. National Renewable Energy Laboratory (NREL)

Artificial intelligence provides a convenient route for power grid stability assessment. Compared with simulation-based approaches, artificial intelligence can potentially save time on model development and numerical computation in stability assessment. This paper first reviewed existing literature on using artificial intelligence for power grid stability assessment. Then a machine-leaning-based tool is presented and developed to assess power grid transient stability, frequency stability, and small signals stability. Test results verified the accuracy and effectiveness of the AI tool for power grid stability assessment.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1771880
• Country of Publication: United States
• Language: English