[HTML][HTML] Adaptive protection based on multi-agent systems for AC microgrids: A review

AJ Taveras-Cruz, D Mariano-Hernández… - Applied Energy, 2025 - Elsevier
The bidirectional power flow, voltage/frequency dynamics, and reduced fault current
observed in microgrids pose significant challenges to the protection of electrical systems …

Cyber-physical integration for future green seaports: Challenges, state of the art and future prospects

Y Lu, S Fang, G Chen, T Niu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To achieve the “carbon neutrality” target, multiple heterogeneous energy networks are
integrated within seaport areas to form a special energy system with tight “transportation …

Multi-agent-based fault location and cyber-attack detection in distribution system

JA Albarakati, M Azeroual, Y Boujoudar, L EL Iysaouy… - Energies, 2022 - mdpi.com
Accurate fault location is challenging due to the distribution network's various branches,
complicated topology, and the increasing penetration of distributed energy resources …

Detection of false data injection attacks on power systems using graph edge-conditioned convolutional networks

B Chen, QH Wu, M Li, K **ahou - Protection and Control of …, 2023 - ieeexplore.ieee.org
State estimation plays a vital role in the stable operation of modern power systems, but it is
vulnerable to cyber attacks. False data injection attacks (FDIA), one of the most common …

[HTML][HTML] Borderline SMOTE algorithm and feature selection-based network anomalies detection strategy

Y Sun, H Que, Q Cai, J Zhao, J Li, Z Kong, S Wang - Energies, 2022 - mdpi.com
This paper proposes a novel network anomaly detection framework based on data balance
and feature selection. Different from the previous binary classification of network intrusion …

Adaptive deep reinforcement learning algorithm for distribution system cyber attack defense with high penetration of DERs

A Selim, J Zhao, F Ding, F Miao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With grid modernization, smart inverters are increasingly used to execute advanced controls
for distribution network reliability. However, this also increases the cyber-attack space. This …

Anomaly detection using bi-directional long short-term memory networks for cyber-physical electric vehicle charging stations

A Hussain, A Yadav… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the increasing integration of electric vehicles (EVs) into the distributed energy
resources (DER) system, the security of EV charging stations (EVCS) from cyber-attacks is …

Recent control techniques and management of AC microgrids: A critical review on issues, strategies, and future trends

J Singh, S Prakash Singh… - … on Electrical Energy …, 2021 - Wiley Online Library
Distributed generation is considered as a key component of the emerging microgrid (MG)
concept, enabling the integration of renewable sources in a distributed network. The MG has …

A Hierarchical approach for isolating sensor faults from un-stealthy attacks in large-scale systems

M Ramadan, F Abdollahi - Journal of the Franklin Institute, 2024 - Elsevier
This paper proposes a novel hierarchical-adaptive threshold abnormal behavior
discrimination scheme (HATAD) for Lipschitz nonlinear large-scale systems with …

Distributed robust tracking control for multiple Euler–Lagrange systems with full‐state constraints and input saturation using an event‐triggered scheme

H Liu, G Du, X Tian, L Zou - International Journal of Robust and …, 2022 - Wiley Online Library
In this article, distributed tracking control is studied for multiple Euler–Lagrange systems in
the presence of external disturbances and input saturation. Specifically, full‐state …