Bad data detection in the context of leverage point attacks in modern power networks

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Title: Bad data detection in the context of leverage point attacks in modern power networks
Authors: Majumdar, A
Pal, BC
Item Type: Journal Article
Abstract: This paper demonstrates a concept to detect bad data in state estimation when the leverage measurements are tampered with gross error. The concept is based on separating leverage measurements from non-leverage measurements by a technique called diagnostic robust generalized potential (DRGP), which also takes care of the masking or swamping effect, if any. The methodology then detects the erroneous measurements from the generalized studentized residuals (GSR). The effectiveness of the method is validated with a small illustrative example, standard IEEE 14-bus and 123-bus unbalanced network models and compared with the existing methods. The method is demonstrated to be potentially very useful to detect attacks in smart power grid targeting leverage points in the system.
Issue Date: 1-May-2018
Date of Acceptance: 31-Aug-2016
URI: http://hdl.handle.net/10044/1/39692
DOI: https://dx.doi.org/10.1109/TSG.2016.2605923
ISSN: 1949-3061
Publisher: IEEE
Start Page: 2042
End Page: 2054
Journal / Book Title: IEEE Transactions on Smart Grid
Volume: 9
Issue: 3
Copyright Statement: © 2016 The Author(s). This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/.
Sponsor/Funder: Engineering & Physical Science Research Council (E
Funder's Grant Number: EP/K02227X/1
Keywords: Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Distribution management system (DMS)
remote terminal unit (RTU)
state estimation (SE)
leverage measurements
bad data detection (BDD)
generalized studentized residuals (GSR)
diagnostic-robust generalized potentials (DRGP)
SYSTEM STATE ESTIMATION
DATA INJECTION ATTACKS
MULTIPLE INFLUENTIAL OBSERVATIONS
LINEAR-REGRESSION
IDENTIFICATION
PMUS
0906 Electrical And Electronic Engineering
0915 Interdisciplinary Engineering
Publication Status: Published
Online Publication Date: 2016-10-17
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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