A review of AI-based cyber-attack detection and mitigation in microgrids

OA Beg, AA Khan, WU Rehman, A Hassan - Energies, 2023 - mdpi.com
In this paper, the application and future vision of Artificial Intelligence (AI)-based techniques
in microgrids are presented from a cyber-security perspective of physical devices and …

Optimal distributed control of AC microgrids with coordinated voltage regulation and reactive power sharing

SM Mohiuddin, J Qi - IEEE transactions on smart grid, 2022 - ieeexplore.ieee.org
In this paper, we propose an optimal distributed voltage control for grid-forming (GFM)
inverters in islanded AC microgrids. An optimization problem is formulated where the …

Data-driven Cyberphysical Anomaly Detection for Microgrids with GFM Inverters

X Liu, H Li - IEEE Open Journal of Power Electronics, 2023 - ieeexplore.ieee.org
Microgrids (MGs) have gained significant attention considering their enhanced capability to
integrate increasing distributed energy resources (DERs). The application of grid forming …

A Unified Cyber Attack Detection and Mitigation Framework for an Islanded AC Microgrid

S De, R Sodhi - IEEE Transactions on Systems, Man, and …, 2024 - ieeexplore.ieee.org
This article proposes a novel three-step framework to accurately detect, estimate and
mitigate cyber-attacks like unauthorized data manipulation and hijacking controller attacks …

Deep Learning Based Attack Detection for Microgrid Control

J Qi - Smart Grid Resilience: Extreme Weather, Cyber …, 2023 - Springer
This chapter presents a deep learning based multi-label attack detection approach for the
distributed control in AC microgrids. The secondary control of AC microgrids is formulated as …

Resilient Optimal Distributed Control of Grid-Forming and Grid-Following Inverters in Islanded Microgrids

SM Mohiuddin - 2021 - search.proquest.com
The increased concerns for climate change and the negative environmental impact of the
traditional fossil fuel based generators are driving the need for microgrid development. A …