Team for Research in
Ubiquitous Secure Technology

On the Nonlinearity Effects on Malicious Data Attack on Power System
Jia Liyan, Robert J. Thomas, Lang Tong

Citation
Jia Liyan, Robert J. Thomas, Lang Tong. "On the Nonlinearity Effects on Malicious Data Attack on Power System". To appear in 2012 Power and Energy Society general meeting, July, 2012.

Abstract
There has been a growing literature on the malicious data attack (or data injection attack) on power systems. Most existing work focuses on the DC (linear) model with linear state estimators. This paper examines the effects of nonlinearity in the power systems on the effectiveness of malicious data attack on state estimation and real-time market. It is demonstrated that attack algorithms designed for the DC model may not be effective when they are applied to nonlinear system with nonlinear state estimators. Discussion and experiments results about nonlinearity are provided.

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Citation formats  
  • HTML
    Jia Liyan, Robert J. Thomas, Lang Tong. <a
    href="http://www.truststc.org/pubs/876.html"
    >On the Nonlinearity Effects on Malicious Data Attack on
    Power System</a>, To appear in 2012 Power and Energy
    Society general meeting, July, 2012.
  • Plain text
    Jia Liyan, Robert J. Thomas, Lang Tong. "On the
    Nonlinearity Effects on Malicious Data Attack on Power
    System". To appear in 2012 Power and Energy Society
    general meeting, July, 2012.
  • BibTeX
    @inproceedings{LiyanThomasTong12_OnNonlinearityEffectsOnMaliciousDataAttackOnPowerSystem,
        author = {Jia Liyan and Robert J. Thomas and Lang Tong},
        title = {On the Nonlinearity Effects on Malicious Data
                  Attack on Power System},
        booktitle = {To appear in 2012 Power and Energy Society general
                  meeting},
        month = {July},
        year = {2012},
        abstract = {There has been a growing literature on the
                  malicious data attack (or data injection attack)
                  on power systems. Most existing work focuses on
                  the DC (linear) model with linear state
                  estimators. This paper examines the effects of
                  nonlinearity in the power systems on the
                  effectiveness of malicious data attack on state
                  estimation and real-time market. It is
                  demonstrated that attack algorithms designed for
                  the DC model may not be effective when they are
                  applied to nonlinear system with nonlinear state
                  estimators. Discussion and experiments results
                  about nonlinearity are provided. },
        URL = {http://www.truststc.org/pubs/876.html}
    }
    

Posted by Mary Stewart on 4 Apr 2012.
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