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\title{Local Feedback and Event-Triggered Control for Detecting and Mitigating
False Data Injection Attacks in Islanded DC Microgrids}



\author[1]{Vahid Tahani}%
\author[1]{Mohamad Hadad Zarif}%
\author[1]{Hossein Gholizade Narm}%
\author[1]{Mohaddeseh  Amerian}%
\affil[1]{Shahrood University of Technology}%


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  \date{April 25, 2026}


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\begin{abstract}
This study introduces a novel strategy for mitigating False Data
Injection (FDI) attacks within islanded DC microgrids, primarily
focusing on enhancing the security of data transmission between buses.
This method utilizes secondary control variables, local feedbacks, and
event-triggered control to detect, identify, stabilize voltage during
FDI attacks, and ultimately eliminate the attacks. The combination of
these methods results in the establishment of a resilient control.
Secondary control variables, through defining a variable as a detection
index (DI) and impact of FDI attacks on per-unit current and estimated
average voltage parameters, detect potential attacks. Subsequently,
internal feedbacks ensure stability under attack conditions by
increasing the gains of the local feedbacks. Moreover, the proposed
event-triggered control identifies the magnitude and location of the
attack by comparing two events before and after an attack. Finally, the
identified attack is mitigated by removing it from the communication
link. Furthermore, after mitigating the attack, the local feedbacks
cause the system to return to its pre-attack state, restoring voltage
regulation and current sharing to their previous levels. Simulations and
experimental results demonstrate the effectiveness of the approach in
stabilizing the system and mitigating various FDI attack scenarios,
showcasing its potential for securing DC microgrids.%
\end{abstract}%



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