A Review on Artificial Intelligence (AI) for Stability Assessment: Preprint

Conference · Wed Nov 18 00:00:00 EST 2020

OSTI ID:1726026

You, Shutang; Zhao, Yinfeng; Mandich, Mirka; Cui, Yi; Li, Hongyu; Xiao, Huangqing; Fabus, Summer; Su, Yu; Liu, Yilu; Yuan, Haoyu; Jiang, Huaiguang; Tan, Jin ; Zhang, Yingchen

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-signal stability. Test results verified the accuracy and effectiveness of the artificial intelligence tool for power grid stability assessment.

• Research Organization: National Renewable Energy Lab. (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1726026
• Report Number(s): NREL/CP-5D00-77845; MainId:30760; UUID:cae8cc7a-c5c4-4259-8fed-800537b0225d; MainAdminID:18623
• Resource Relation: Conference: Presented at the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm), 11-13 November 2020
• Country of Publication: United States
• Language: English

Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
artificial intelligence
power grid
stability assessment