Recent advancements in dc microgrids are largely based on distributed control strategies to enhance their reliability. However, due numerous vulnerabilities the communication layer, they susceptible cyber attacks. Hijacked link(s) could affect microgrid system reliability and operation many ways. Therefore, accuracy detection of compromised becomes very critical dynamic relationship between cyb...

DC microgrids can be considered as cyber-physical systems (CPSs) and they are vulnerable to cyberattacks. Therefore, it is highly recommended have effective plans detect remove cyberattacks in dc microgrids. This article shows how artificial neural networks help mitigate coordinated false data injection attacks (FDIAs) on current measurements a type of FDIAs try inject the into system disrupt c...

Microgrids have been identified as a step towards goals of global green energy generation they offer attractive options renewable resource inclusion in decentralized networks, thus providing incentive meeting booming demand sustainably. They are however impaired by the characteristic nature Distributed Renewable Energy Resources (DRERs). While DRERs and microgrids advantage sustainable autonomo...

We consider the problem of ensuring stability in a DC microgrid by means decentralized conditions. Such conditions are derived which formulated as input-output properties locally defined subsystems. These follow from various decompositions and corresponding resulting representations. It is shown that these can be combined together appropriate homotopy arguments, thus reducing conservatism relat...

Direct current (DC) microgrids can be considered as cyber-physical systems due to implementation of measurement devices, communication network, and control layers. Consequently, dc are also vulnerable cyber-attacks. False-data injection attacks (FDIAs) a common type cyber-attacks, which try inject false data into the system in order cause defective behavior. This article proposes method based o...