In this article, a dual deep neural network (DDNN) based cyber-attack detection and correction method for direct current microgrids (DCMG) are proposed. DCMG are prone to …
This paper addresses the cybersecurity of hierarchical control of AC microgrids with distributed secondary control. The false data injection (FDI) cyberattack is assumed to alter …
Y Wan, T Dragičević - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
In this letter, a data-driven cyber-attack detection method for islanded dc microgrids is proposed. Data are collected by monitoring the behavior of an intelligent attacker who is …
Contemporary cyber–physical systems have evolved into highly autonomous and distributed entities, enabled by cutting-edge control frameworks and advanced communication …
This paper proposes a cooperative mechanism for detecting potentially deceptive cyber attacks that attempt to disregard average voltage regulation and current sharing in cyber …
This article proposes a novel approach to uncover deficiencies of the existing cyber-attack detection schemes and thereby to serve as a foundation for establishing more reliable …
DC microgrids can be considered as cyber-physical systems (CPSs) and they are vulnerable to cyberattacks. Therefore, it is highly recommended to have effective plans to …
E Naderi, A Asrari - 2022 IEEE Green Energy and Smart …, 2022 - ieeexplore.ieee.org
Instantaneous monitoring of smart microgrids is a crucial task of system operators to ensure an acceptable level of security and reliability in the system. To this end, modern …
M Karanfil, DE Rebbah, M Debbabi… - … on Smart Grid, 2022 - ieeexplore.ieee.org
Microgrids, as a major domain of smart grids, facilitate the integration of distributed and renewable energy sources. They are capable of operating autonomously when the …