NDLI: Stability of power network state estimation under attack

Content Provider	IEEE Xplore Digital Library
Author	Baiocco, A. Wolthusen, S.D.
Copyright Year	2014
Description	Author affiliation: Norwegian Inf. Security Lab., Gjovik Univ. Coll., Gjøvik, Norway (Wolthusen, S.D.) \|\| Inf. Security Group, Univ. of London, Egham, UK (Baiocco, A.)
Abstract	The stability of a power network is strongly influenced by the ability of network operators to determine the current state despite not having a full set of simultaneous measurements available as this determines the ability to dispatch generator capacity and to take corrective measures. State estimation for power networks has long been the subject of intensive scrutiny as it must satisfy requirements for computational efficiency, tolerance to bad data, and errors in the underlying topology. In addition, however, the canonical weighted least squares (WLS) solution is prone to ill-conditioning problems particularly when using Gauss-Newton normal equations (NE). Whilst these problems of stability and sensitivity have been studied intensely with methods from real analysis and optimisation theory giving enhanced error bounds, this has not been considered as a source of attacks resulting in failure to achieve a satisfactory state estimate. Moreover, we show that these problems are further exacerbated in case of iterative state estimation stability found in hierarchical state estimators have received insufficient attention, particularly as smart (micro-) grids cannot rely on carefully designed measurement systems and topology. Both for centralised and hierarchical state estimators, however, we describe a novel class of attacks on state estimators which can both force error parameters to become unacceptable and result in outright state estimator divergence, noting that this is not limited to WLS approaches.
Starting Page	441
Ending Page	446
File Size	482881
Page Count	6
File Format	PDF
ISBN	9781479913008
DOI	10.1109/ISGT-Asia.2014.6873832
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-20
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Jacobian matrices Transmission line matrix methods Current measurement Mathematical model Covariance matrices State estimation Equations
Content Type	Text
Resource Type	Article

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