Review on deep learning applications in frequency analysis and control of modern power system

Y Zhang, X Shi, H Zhang, Y Cao, V Terzija - International Journal of …, 2022 - Elsevier
The penetration of renewable energy resources (RES) generation and the interconnection of
regional power grids in wide area and large scale have led the modern power system to …

A comprehensive review of security-constrained unit commitment

N Yang, Z Dong, L Wu, L Zhang, X Shen… - Journal of Modern …, 2021 - ieeexplore.ieee.org
Security-constrained unit commitment (SCUC) has been extensively studied as a key
decision-making tool to determine optimal power generation schedules in the operation of …

An intelligent transient stability assessment framework with continual learning ability

X Li, Z Yang, P Guo, J Cheng - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Data driven method based on big data and deep model is an effective tool to solve the
problem of online power system transient stability assessment. Nevertheless, when the …

Emergency load shedding strategy for microgrids based on dueling deep Q-learning

C Wang, H Yu, L Chai, H Liu, B Zhu - Ieee Access, 2021 - ieeexplore.ieee.org
The rapid drop of frequency under the disturbance is a major threat to the safe and stable
operation of a microgrid (MG) system. Emergency load shedding is the main measure to …

A data-driven and data-based framework for online voltage stability assessment using partial mutual information and iterated random forest

S Liu, R Shi, Y Huang, X Li, Z Li, L Wang, D Mao, L Liu… - Energies, 2021 - mdpi.com
Due to the rapid development of phasor measurement units (PMUs) and the wide area of
interconnection of modern power systems, the security of power systems is confronted with …

Deep learning-based transient stability assessment framework for large-scale modern power system

X Li, C Liu, P Guo, S Liu, J Ning - International Journal of Electrical Power & …, 2022 - Elsevier
When severe disturbance occurs in power system, lack of efficacious information about
transient stability state is a key challenge for power network operator. Especially for the …

Unintentional islanding transition control strategy for three-/single-phase multimicrogrids based on artificial emotional reinforcement learning

C Wang, S Mei, H Yu, S Cheng, L Du… - IEEE Systems …, 2021 - ieeexplore.ieee.org
Distribution network failures can cause unintentional islanding of three-/single-phase
multimicrogrids (MMGs). The transient impulse that occurs during the unintentional islanding …

[HTML][HTML] Data-driven power system security assessment using high content database during the COVID-19 pandemic

A Mollaiee, MT Ameli, S Azad, M Nazari-Heris… - International Journal of …, 2023 - Elsevier
As the coronavirus disease (COVID-19) broke out in late 2019, the electricity sector was
significantly impacted. Hence, the effects of the pandemic and restricting measures in power …

A review of visualization methods for cyber-physical security: Smart grid case study

V Cobilean, HS Mavikumbure, BJ Mcbride… - IEEE …, 2023 - ieeexplore.ieee.org
Cyber-Physical Systems (CPSs) are becoming increasingly complex and interconnected as
they attempt to meet the demands of evolving society. As a result, monitoring and …

Guest editorial: Special issue on data-analytics for stability analysis, control, and situational awareness of power system with high-penetration of renewable energy

Y Liu, L Mili, Y Xu, J Zhao, I Kamwa… - International Journal of …, 2022 - Elsevier
Guest editorial: Special issue on data-analytics for stability analysis, control, and situational
awareness of power system with high-penetration of renewable energy - ScienceDirect Skip …