Analysis of safety and security challenges and opportunities related to cyber-physical systems

AH El-Kady, S Halim, MM El-Halwagi, F Khan - Process Safety and …, 2023 - Elsevier
A cyber-physical system (CPS) is an interconnected physical system that can be monitored,
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …

Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective

H Qiu, W Gu, P Liu, Q Sun, Z Wu, X Lu - Energy, 2022 - Elsevier
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …

A modified particle swarm optimization using adaptive strategy

H Liu, XW Zhang, LP Tu - Expert systems with applications, 2020 - Elsevier
In expert systems, complex optimization problems are usually nonlinear, nonconvex,
multimodal and discontinuous. As an efficient and simple optimization algorithm, particle …

[HTML][HTML] Smart grid encounters edge computing: Opportunities and applications

C Feng, Y Wang, Q Chen, Y Ding, G Strbac… - Advances in Applied …, 2021 - Elsevier
Smart grids (SGs) are reforming towards utilizing massive data for operations and services.
During this reform, the information and communication technologies (ICTs) play a critical …

Resilience-driven optimal sizing and pre-positioning of mobile energy storage systems in decentralized networked microgrids

Y Wang, AO Rousis, G Strbac - Applied Energy, 2022 - Elsevier
Networked microgrids are considered an effective way to enhance resilience of localized
energy systems. Recently, research efforts across the world have been focusing on the …

Cyber-attack recovery strategy for smart grid based on deep reinforcement learning

F Wei, Z Wan, H He - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
The integration of cyber-physical system increases the vulnerabilities of critical power
infrastructures. Once the malicious attackers take the substation control authorities, they can …

Data-driven learning-based classification model for mitigating false data injection attacks on dynamic line rating systems

OA Lawal, J Teh, B Alharbi, CM Lai - Sustainable Energy, Grids and …, 2024 - Elsevier
The increasing need to explore electric power grid expansion technologies like dynamic line
rating (DLR) systems and their dependence on real-time weather data for system planning …

A three-level planning model for optimal sizing of networked microgrids considering a trade-off between resilience and cost

Y Wang, AO Rousis, G Strbac - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
Extreme events can cause severe power system damage. Resilience-driven operation of
networked microgrids (MGs) has been heavily studied in literature. There is, though, little …

Decentralized-distributed robust electric power scheduling for multi-microgrid systems

H Qiu, F You - Applied energy, 2020 - Elsevier
This paper proposes a novel decentralized-distributed (DD) adaptive robust optimization
(ARO) method to address the efficient distributed scheduling of multi-microgrid systems …

[HTML][HTML] A resilience-based recovery scheme for smart grid restoration following cyberattacks to substations

A Rahiminejad, J Plotnek, R Atallah, MA Dubois… - International Journal of …, 2023 - Elsevier
The recent surge of interest towards deploying cyber systems in power grids exposes the
resulted Smart Grids (SGs) to cyberattacks, and consequently resilience degradation …