Residual-Based Detection of Attacks in Cyber-Physical Inverter-Based Microgrids

Andres Intriago, Francesco Liberati, Nikos D. Hatziargyriou, Charalambos Konstantinou

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


This paper discusses the challenges faced by cyber-physical microgrids (MGs) due to the inclusion of information and communication technologies in their already complex, multi-layered systems. The work identifies a research gap in modeling and analyzing stealthy intermittent integrity attacks in MGs, which are designed to maximize damage and cancel secondary control objectives. To address this, the paper proposes a nonlinear residual-based observer approach to detect and mitigate such attacks. In order to ensure a stable operation of the MG, the formulation then incorporates stability constraints along with the detection observer. The proposed design is validated through case studies on a MG benchmark with four distributed generators, demonstrating its effectiveness in detecting attacks while satisfying network and stability constraints.

Original languageEnglish (US)
Pages (from-to)1-18
Number of pages18
JournalIEEE Transactions on Power Systems
Issue number2
StateAccepted/In press - 2023

Bibliographical note

Publisher Copyright:


  • Cyber-physical microgrids
  • Cyberattack
  • detection
  • Focusing
  • Mathematical models
  • Microgrids
  • nonlinear observer
  • Observers
  • Power system stability
  • stability
  • Stability criteria
  • stealthy attacks

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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