A Review on Artificial Intelligence for Grid Stability Assessment
Shutang You, Yinfeng Zhao, Mirka Mandich, Yi Cui, Hongyu Li, Huangqing Xiao, Summer Fabus, Yu Su, Yilu Liu, Haoyu Yuan, Huaiguang Jiang, Jin Tan, Yingchen Zhang
Abstract
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.