False Data Injection Attack Detection and Mitigation Using Nonlinear Autoregressive Exogenous Input-Based Observers in Distributed Control for DC Microgrid

This study investigates the vulnerability of dc microgrid systems to cyber threats, focusing on false data injection attacks (FDIAs) affecting sensor measurements. These attacks pose significant risks to equipment, generation units, controllers, and human safety. To address this vulnerability, we pr...

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Autori principali:	Md Abu Taher, Milad Behnamfar, Arif I. Sarwat, Mohd Tariq
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Open Journal of the Industrial Electronics Society
Soggetti:	Control system resilience cyber-attacks DC Microgrid false data injection attacks (FDIAs) nonlinear autoregressive network with exogenous input (NARX)-based observer OPAL-RT
Accesso online:	https://ieeexplore.ieee.org/document/10540225/
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