Detection of False Data Injection Attack in Smart Grids via Interval Observer

Xinyu Wang, Xiaoyuan Luo, Mingyue Zhang, Zhongping Jiang, Xinping Guan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper focuses on the detection of false data inject attacks (FDIAs) in smart grids. An interval observer-based detection scheme against the FDIAs is proposed, by considering the stealthy characteristics of FDIAs. Based on the constructed physical dynamics grid model, we design interval observer to estimate the interval state of physical dynamics accurately. To address the limitation of precomputed threshold, an interval residual-based detection standard is proposed. The residual evaluation functions and detection threshold in traditional attack detection methodologies are replaced by the interval residuals which can be regarded as the time-varying detection threshold. Finally, the effectiveness of the developed detection method is demonstrated by using a detailed study on the IEEE 37-bus smart grid system.

Original languageEnglish (US)
Title of host publicationProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3238-3243
Number of pages6
ISBN (Electronic)9781728101057
DOIs
StatePublished - Jun 2019
Event31st Chinese Control and Decision Conference, CCDC 2019 - Nanchang, China
Duration: Jun 3 2019Jun 5 2019

Publication series

NameProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

Conference

Conference31st Chinese Control and Decision Conference, CCDC 2019
CountryChina
CityNanchang
Period6/3/196/5/19

Keywords

  • Smart grid
  • attack detection
  • false data inject attack
  • nonlinear interval observer

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Control and Systems Engineering
  • Control and Optimization

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  • Cite this

    Wang, X., Luo, X., Zhang, M., Jiang, Z., & Guan, X. (2019). Detection of False Data Injection Attack in Smart Grids via Interval Observer. In Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019 (pp. 3238-3243). [8832350] (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2019.8832350