Deception Attack Detection of Isolated DC Microgrids under Consensus- Based Distributed Voltage Control Architecture

  • Donghan Shi
  • , Pengfeng Lin
  • , Yu Wang
  • , Chia Chi Chu*
  • , Yan Xu
  • , Peng Wang
  • *Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

43 Scopus citations

Abstract

A consensus-based distributed voltage control architecture of isolated DC microgrids (MGs) with deception attack awareness is investigated in this paper. Firstly, a fully distributed voltage control algorithm with only adjacent information sharing is proposed by expanding the consensus-based distributed algorithm in AC MGs. To further enhance the ability of deception attack detection in the associated cyber network, an analytical consistency-based anomaly detection mechanism is also developed by manipulating primal variables and dual variables associated with the proposed distributed voltage control algorithm. Strategies for detecting either individual or stealthy false-data injection attacks on both links and nodes of the associated communication network against the distributed consensus-based droop control of DC MGs are investigated. Numerical experiments of a DC MG on real-time simulators are performed to validate the efficacy of the proposed deception attack detection mechanism.

Original languageEnglish
Article number9319712
Pages (from-to)155-167
Number of pages13
JournalIEEE Journal on Emerging and Selected Topics in Circuits and Systems
Volume11
Issue number1
DOIs
StatePublished - 03 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2011 IEEE.

Keywords

  • DC microgrid
  • analytical consistency validations
  • deception attack detection
  • distributed consensus-based droop control
  • primal-dual algorithm

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