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Title:Malicious data detection and localization in state estimation leveraging system losses
Author(s):Lu, Miao
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):false data injection
phasor measurement units
state estimation
power system cyber security
Abstract:In power systems, economic dispatch, contingency analysis, and the detection of faulty equipment rely on the output of the state estimator. Typically, state estimations are made based on the network topology information and the measurements from a set of sensors within the network. The state estimates must be accurate even with the presence of corrupted measurements. Traditional techniques used to detect and identify bad sensor measurements in state estimation cannot thwart malicious sensor measurement modifications, such as malicious data injection attacks. Recent work by Niemira (2013) has compared real and reactive injection and flow measurements as indicators of attacks. In this work, we improve upon the method used in that work to further enhance the detectability of malicious data injection attacks, and to incorporate PMU measurements to detect and locate previously undetectable attacks.
Issue Date:2015-04-27
Rights Information:Copyright 2015 Miao Lu
Date Available in IDEALS:2015-07-22
Date Deposited:May 2015

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