Sparse Dictionary Learning for Transient Stability Assessment
Transient stability assessment (TSA) has always been a fundamental and challenging problem for ensuring the security and operation of power systems. With more power electronic interface resources integrated into the grid and large renewable energies, the stability of the power system is jeopardized....
Main Authors: | Qilin Wang, Chengzong Pang, Cheng Qian |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-07-01
|
Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.932770/full |
Similar Items
-
Sparse Signal Reconstruction on Fixed and Adaptive Supervised Dictionary Learning for Transient Stability Assessment
by: Raoult Teukam Dabou, et al.
Published: (2021-11-01) -
A Universal and Adaptive Fabric Defect Detection Algorithm Based on Sparse Dictionary Learning
by: Xuejuan Kang, et al.
Published: (2020-01-01) -
Speech Enhancement using Greedy Dictionary Learning and Sparse Recovery
by: K. N. H. Srinivas, et al.
Published: (2023-01-01) -
Efficient Denoising of Multidimensional GPR Data Based on Fast Dictionary Learning
by: Deshan Feng, et al.
Published: (2024-01-01) -
Weak Signal Detection Based on Combination of Sparse Representation and Singular Value Decomposition
by: Huijie Ma, et al.
Published: (2022-05-01)