A supervised contrastive learning method with novel data augmentation for transient stability assessment considering sample imbalance
Fast and accurate transient stability assessment (TSA) is crucial for power system safety, as
it provides the basis for operators to decide on emergency control actions. However, data …
it provides the basis for operators to decide on emergency control actions. However, data …
Deep Lyapunov Learning: Embedding the Lyapunov Stability Theory in Interpretable Neural Networks for Transient Stability Assessment
The machine learning-based transient stability assessment (TSA) has shown satisfactory
accuracy while been limited by the lack of interpretability. This letter thereby presents a …
accuracy while been limited by the lack of interpretability. This letter thereby presents a …
Test Models for Stability/Security Studies of AC-DC Hybrid Power Systems with High Penetration of Renewables
H Sun, B Zhao, S Xu, T Lan, Z Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Modern bulk power systems are developing into AC-DC hybrid systems with high
penetration of renewables. There has been a lack of representative benchmarks to study …
penetration of renewables. There has been a lack of representative benchmarks to study …
[HTML][HTML] A Hybrid Method Based on Corrected Kinetic Energy and Statistical Calculation for Real-Time Transient Stability Evaluation
This paper proposes an innovative transient stability index (TSI) designed to enhance the
real-time assessment of power system stability. The TSI integrates a corrected kinetic energy …
real-time assessment of power system stability. The TSI integrates a corrected kinetic energy …
A Multi-module Robust Method for Transient Stability Assessment against False Label Injection Cyberattacks
H Wang, N Lu, Y Liu, Z Wang, Z Wang - arXiv preprint arXiv:2406.06744, 2024 - arxiv.org
The success of deep learning in transient stability assessment (TSA) heavily relies on high-
quality training data. However, the label information in TSA datasets is vulnerable to …
quality training data. However, the label information in TSA datasets is vulnerable to …