Distributed Optimal Dynamic State Estimation for Cyber Intrusion Detection in Networked DC Microgrids

Tuyen Vu, Bang Nguyen, Tuan Ngo, Mischa Steurer, Karl Schoder, Rob Hovsapian

Research output: Contribution to conferencePaperpeer-review

8 Scopus Citations

Abstract

In this paper, we present a novel distributed state estimation approach in networked DC microgrids to detect the false data injection in the microgrid control network. Each microgrid monitored by a distributed state estimator will detect if there is manipulated data received from their neighboring microgrids for control purposes. A dynamic model supporting the dynamic state estimation will be constructed for networked microgrids. The optimal distributed state estimation, which is robust to load disturbances but sensitive to false data injected from neighboring microgrids will be presented. To demonstrate the effectiveness of the proposed approach, we simulate a 12kV three-bus networked DC microgrids in MATLAB/Simulink. Residual information corresponding to the false data injected from neighbors validates the efficacy of the proposed approach in detecting compromised agents of neighboring microgrids.

Original languageAmerican English
Pages4050-4055
Number of pages6
DOIs
StatePublished - Oct 2019
Event45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 - Lisbon, Portugal
Duration: 14 Oct 201917 Oct 2019

Conference

Conference45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019
Country/TerritoryPortugal
CityLisbon
Period14/10/1917/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

NREL Publication Number

  • NREL/CP-5C00-77217

Keywords

  • Cyber intrusion detection
  • Cyber-physical systems
  • Distributed dynamic state estimation
  • False data injection
  • Networked dc microgrids

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