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Title: A Probabilistic Risk Mitigation Model for Cyber-Attacks to PMU Networks

Abstract

The power grid is becoming more dependent on information and communication technologies. Complex networks of advanced sensors such as phasor measurement units (PMUs) are used to collect real time data to improve the observability of the power system. Recent studies have shown that the power grid has significant cyber vulnerabilities which could increase when PMUs are used extensively. Therefore, recognizing and responding to vulnerabilities are critical to the security of the power grid. This paper proposes a risk mitigation model for optimal response to cyber-attacks to PMU networks. We model the optimal response action as a mixed integer linear programming (MILP) problem to prevent propagation of the cyber-attacks and maintain the observability of the power system.

Authors:
; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1392405
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Resource Relation:
Journal Name: IEEE Transactions on Power Systems; Journal Volume: 30; Journal Issue: 1
Country of Publication:
United States
Language:
English
Subject:
Cyber-attack

Citation Formats

Mousavian, Seyedamirabbas, Valenzuela, Jorge, and Wang, Jianhui. A Probabilistic Risk Mitigation Model for Cyber-Attacks to PMU Networks. United States: N. p., 2015. Web. doi:10.1109/TPWRS.2014.2320230.
Mousavian, Seyedamirabbas, Valenzuela, Jorge, & Wang, Jianhui. A Probabilistic Risk Mitigation Model for Cyber-Attacks to PMU Networks. United States. doi:10.1109/TPWRS.2014.2320230.
Mousavian, Seyedamirabbas, Valenzuela, Jorge, and Wang, Jianhui. Thu . "A Probabilistic Risk Mitigation Model for Cyber-Attacks to PMU Networks". United States. doi:10.1109/TPWRS.2014.2320230.
@article{osti_1392405,
title = {A Probabilistic Risk Mitigation Model for Cyber-Attacks to PMU Networks},
author = {Mousavian, Seyedamirabbas and Valenzuela, Jorge and Wang, Jianhui},
abstractNote = {The power grid is becoming more dependent on information and communication technologies. Complex networks of advanced sensors such as phasor measurement units (PMUs) are used to collect real time data to improve the observability of the power system. Recent studies have shown that the power grid has significant cyber vulnerabilities which could increase when PMUs are used extensively. Therefore, recognizing and responding to vulnerabilities are critical to the security of the power grid. This paper proposes a risk mitigation model for optimal response to cyber-attacks to PMU networks. We model the optimal response action as a mixed integer linear programming (MILP) problem to prevent propagation of the cyber-attacks and maintain the observability of the power system.},
doi = {10.1109/TPWRS.2014.2320230},
journal = {IEEE Transactions on Power Systems},
number = 1,
volume = 30,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}