Results 1 to 10 of about 9,589,731 (93)

Recurrent Convolutional Neural Network-Based Assessment of Power System Transient Stability and Short-Term Voltage Stability

Energies, 2022
Transient stability (TS) and short-term voltage stability (STVS) assessment are of fundamental importance for the operation security of power systems.
Estefania Alexandra Tapia, Delia Graciela Colomé, José Luis Rueda Torres   +2 more
doaj   +4 more sources

A New Global Index for Short Term Voltage Stability Assessment [PDF]

IEEE Access, 2021
The utility scale of non-conventional generators (NCGs), such as wind and photovoltaic (PV) plants, are competitive alternatives to synchronous machines (SMs) for power generation.
Abdulrhman Alshareef, Rakibuzzaman Shah, N. Mithulananthan, S. Alzahrani   +3 more
doaj   +4 more sources

Short-term voltage stability constrained ORPF for real-time voltage control

Frontiers in Energy Research
In power systems with high renewable energy penetration, short-term voltage stability (STVS) has become an increasingly critical issue. In future real-time automatic voltage control (AVC), sufficient STVS margins need to be incorporated into the ...
Jinquan Zhao, Zichen Zhao, Shengchun Yang   +2 more
doaj   +2 more sources

Deep Learning for Short-Term Voltage Stability Assessment of Power Systems

IEEE Access, 2021
To fully learn the latent temporal dependencies from post-disturbance system dynamic trajectories, deep learning is utilized for short-term voltage stability (STVS) assessment of power systems in this paper.
Meng Zhang, Jiazheng Li, Yang Li, Runnan Xu   +3 more
doaj   +3 more sources

Weighted ensemble learning for real‐time short‐term voltage stability assessment with phasor measurements data

IET Generation, Transmission & Distribution, 2023
Voltage stability assessment based on machine learning has become an important challenge in power systems. This paper presents real‐time short‐term voltage stability (STVS) assessment based on phasor measurement unit (PMU) data and machine learning (ML).
Amir Hossein Babaali, Mohammad Taghi Ameli   +1 more
doaj   +2 more sources

Real-Time Adaptive Corrective Control of Short-Term Voltage Stability

IEEE Access
Although several data-driven approaches for short-term voltage stability (STVS) assessment have been proposed, most of them do not extend to corrective control actions nor consider the joint dynamics of generation and load. To address this gap, this work
Estefania A. Tapia Suarez, D. Graciela Colome, Jose L. Rueda Torres   +2 more
doaj   +3 more sources

Data-Driven Short-Term Voltage Stability Assessment Considering Sample Imbalance and Overlapping

Frontiers in Energy Research, 2022
In recent years, data-driven methods have shown great potential for the practical application of short-term voltage stability (STVS) assessment. However, most existing research works overlook the problem of sample imbalance and overlap in STVS assessment.
Ruijin Zhu, Dafei Wang, Zhilin Su
doaj   +1 more source

A novel multi-task learning method for evaluating short-term voltage stability with incomplete PMU measurements

Complex & Intelligent Systems, 2023
Methods for short-term voltage stability (STVS) assessment based on phasor measurement unit (PMU) data have become quite abundant. However, most of them are challenged to deal with the commonly encountered incomplete PMU data.
Tonglin Luo, Xuchu Jiang
doaj   +1 more source

Multi-Class Short-Term Voltage Stability Assessment Considering the Missing Data [PDF]

International Journal of Industrial Electronics, Control and Optimization
Short-term voltage stability (STVS) varies with operating conditions of power networks, making its accurate assessment a critical challenge. This paper investigates a multi-class, data-driven approach to STVS evaluation.
AmirHossein Babaali, Mohammad Taghi Ameli   +1 more
doaj   +1 more source

Short-Term Voltage Stability Prediction for Power Systems Based on a Dominant Koopman Operator-Enhanced MLE

IEEE Access
Short-term voltage stability (STVS) prediction is a critical technology for modern power systems with high penetration of renewable energy resources. To address the limitations of the traditional maximum Lyapunov exponent (MLE) in handling short-time ...
Han Gao, Deyou Yang, Yanling Lv, Lixin Wang   +3 more
doaj   +1 more source