Intrusion detection in distributed frequency control of isolated microgrids

Lin Yu Lu, Hao Jan Liu, Hao Zhu, Chia Chi Chu*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

53 Scopus citations


This paper presents a framework for distributed frequency control and intrusion detection in isolated microgrids (MGs). First, a distributed secondary control for isolated MGs, consisting of the local droop control at the primary level and a distributed node-to-node update at the secondary level, is proposed for achieving a proportional power sharing while maintaining the nominal system frequency. By casting it as a consensus optimization problem, we adopt the partial primal-dual algorithm for a totally distributed update requiring only neighboring information exchange. Attack models as well as countermeasures for malicious attacks on the communication network are also investigated. Two types of malicious attacks on the communication network, including link and node attacks, are studied. Model-based anomaly detection and localization strategies are developed by exploring the dual variable-related metrics. Numerical experiments have been performed to demonstrate the effectiveness of the proposed control and countermeasure metrics.

Original languageEnglish
Article number8672504
Pages (from-to)6502-6515
Number of pages14
JournalIEEE Transactions on Smart Grid
Issue number6
StatePublished - 11 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2010-2012 IEEE.


  • Microgrid
  • cyber-security
  • distributed droop control
  • malicious attack
  • partial primal-dual algorithm


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