Data-Driven Dynamic Stability Assessment in Large-Scale Power Grid Based on Deep Transfer Learning

Data-Driven Dynamic Stability Assessment in Large-Scale Power Grid Based on Deep Transfer Learning

For data-driven dynamic stability assessment (DSA) in modern power grids, DSA models generally have to be learned from scratch when faced with new grids, resulting in high offline computational costs. To tackle this undesirable yet often overlooked problem, this work develops a light-weight framewor...

Full description

Bibliographic Details
Main Authors: Weijia Wen, Xiao Ling, Jianxin Sui, Junjie Lin
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Energies
Subjects:
autoencoder
deep learning
dynamic stability assessment
time series
transfer learning
transient stability
Online Access:https://www.mdpi.com/1996-1073/16/3/1142

Internet

https://www.mdpi.com/1996-1073/16/3/1142

Similar Items