Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks

Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks

Abstract The existing static voltage stability margin evaluation methods cannot meet the actual demand of current power grid well in terms of calculation speed and accuracy. Thus, this paper proposes a static voltage stability margin prediction method based on a graph attention network (GAT) and a l...

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Bibliographic Details
Main Authors: Tong Liu, Xueping Gu, Shaoyan Li, Yansong Bai, Tieqiang Wang, Xiaodong Yang
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:IET Renewable Power Generation
Subjects:
artificial intelligence
data mining
mathematical programming
power system planning
power system restoration
power system security
Online Access:https://doi.org/10.1049/rpg2.12731

Internet

https://doi.org/10.1049/rpg2.12731

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