On Addressing the Security and Stability Issues Due to False Data Injection Attacks in DC Microgrids An Adaptive Observer Approach

Andreu Cecilia, Subham Sahoo, Tomislav Dragicevic, Ramon Costa-Castello, Frede Blaabjerg

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Abstract

This paper proposes an observer-based methodology to detect and mitigate false data injection attacks in collaborative DC microgrids. The ability of observers to effectively detect such attacks is complicated by the presence of unknown non-linear constant power loads. This work determines that, in the presence of unknown constant power loads, the considered attack detection and mitigation problem involves non-linearities, locally unobservable states, unknown parameters, uncertainty and noise. Taking into account these limitations, a distributed non-linear adaptive observer is proposed to overcome these limitations and solve the concerned observation problem. The necessary conditions for the stability of the distributed scheme are found out. Moreover, numerical simulations are performed and then validated in a real experimental prototype, where communication delay, uncertainty and noise are considered.
Original languageEnglish
JournalIEEE Transactions on Power Electronics
Volume37
Issue number3
Pages (from-to)2801 - 2814
ISSN0885-8993
DOIs
Publication statusPublished - 2021

Keywords

  • Adaptive observer
  • Constant power loads
  • Cyber-attacks
  • Cyber-physical systems
  • DC microgrid
  • Detectors
  • Distributed estimation
  • Estimation
  • Microgrids
  • Non-linear observer
  • Numerical stability
  • Observers
  • Resilient controller
  • Stability analysis
  • Voltage control

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