Short Term Voltage Stability

Short-term voltage stability (STVS) assessment in power systems focuses on predicting and preventing voltage collapses following disturbances. Current research heavily utilizes deep learning, employing architectures like Transformers and recurrent neural networks (RNNs), often coupled with techniques like data augmentation (e.g., using GANs) to address the inherent class imbalance in real-world datasets and improve model robustness. These advancements aim to enhance the accuracy and speed of STVS prediction, enabling more effective and efficient grid management and potentially improving the reliability and safety of power systems. Furthermore, research is exploring safe reinforcement learning methods for designing optimal emergency control strategies to mitigate voltage instability.

Papers

October 18, 2023

Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance
Yang Li, Jiting Cao, Yan Xu, Lipeng Zhu, Zhao Yang Dong
Deep Learning Transformer Architecture Class Imbalance Power System Stability Analysis Short Term Voltage Stability

August 7, 2023

PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning
Yang Li, Shitu Zhang, Yuanzheng Li, Jiting Cao, Shuyue Jia
Deep Learning Power System Deep Transfer Phasor Measurement Unit Short Term Voltage Stability

March 13, 2023

Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering
Zijian Feng, Xin Chen, Zijian Lv, Peiyuan Sun, Kai Wu
Physic Informed Physic Based Feature Topology Control Short Term Voltage Stability Voltage Prediction

December 6, 2022

Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning
Ramij R. Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang
Power Grid Efficient Learning Model Free Deep Reinforcement Learning Model Based Deep Reinforcement Learning Voltage Control Short Term Voltage Stability

December 5, 2021

A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems
Yang Li, Meng Zhang, Chen Chen
Deep Learning Generative Adversarial Network Data Augmentation Small Datasets Power System Deep Learning System Short Term Voltage Stability

December 2, 2021

Safe Reinforcement Learning for Grid Voltage Control
Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang
Reinforcement Learning Safe Reinforcement Learning Short Term Voltage Stability Load Shedding

Short Term Voltage Stability

Papers

Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance

PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning

Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering

Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning

A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems

Safe Reinforcement Learning for Grid Voltage Control