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Title: Self-Healing Attack-Resilient PMU Network for Power System Operation

Abstract

In this paper, we propose a self-healing phasor measurement unit (PMU) network that exploits the features of dynamic and programmable configuration in a software-defined networking infrastructure to achieve resiliency against cyber-attacks. After a cyber-attack, the configuration of network switches is changed to isolate the compromised PMUs/phasor data concentrators to prevent further propagation of the attack; meanwhile, the disconnected yet uncompromised PMUs will be reconnected to the network to "self-heal" and thus restore the observability of the power system. Specifically, we formulate an integer linear programming model to minimize the overhead of the self-healing process (e.g., the recovery latency), while considering the constraints of power system observability, hardware resources, and network topology. We also propose a heuristic algorithm to decrease the computational complexity. Case studies of a PMU network based on the IEEE 30-bus and 118-bus systems are used to validate the effectiveness of the self-healing mechanism.

Authors:
; ORCiD logo; ; ORCiD logo; ; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability
OSTI Identifier:
1460963
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Smart Grid
Additional Journal Information:
Journal Volume: 9; Journal Issue: 3; Journal ID: ISSN 1949-3053
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
resilience; system observability; Cybersecurity; phasor data concentrator (PDC); phasor measurement unit (PMU); self-healing; software-defined networking (SDN)

Citation Formats

Lin, Hui, Chen, Chen, Wang, Jianhui, Qi, Junjian, Jin, Dong, Kalbarczyk, Zbigniew T., and Iyer, Ravishankar K. Self-Healing Attack-Resilient PMU Network for Power System Operation. United States: N. p., 2018. Web. doi:10.1109/TSG.2016.2593021.
Lin, Hui, Chen, Chen, Wang, Jianhui, Qi, Junjian, Jin, Dong, Kalbarczyk, Zbigniew T., & Iyer, Ravishankar K. Self-Healing Attack-Resilient PMU Network for Power System Operation. United States. doi:10.1109/TSG.2016.2593021.
Lin, Hui, Chen, Chen, Wang, Jianhui, Qi, Junjian, Jin, Dong, Kalbarczyk, Zbigniew T., and Iyer, Ravishankar K. Tue . "Self-Healing Attack-Resilient PMU Network for Power System Operation". United States. doi:10.1109/TSG.2016.2593021.
@article{osti_1460963,
title = {Self-Healing Attack-Resilient PMU Network for Power System Operation},
author = {Lin, Hui and Chen, Chen and Wang, Jianhui and Qi, Junjian and Jin, Dong and Kalbarczyk, Zbigniew T. and Iyer, Ravishankar K.},
abstractNote = {In this paper, we propose a self-healing phasor measurement unit (PMU) network that exploits the features of dynamic and programmable configuration in a software-defined networking infrastructure to achieve resiliency against cyber-attacks. After a cyber-attack, the configuration of network switches is changed to isolate the compromised PMUs/phasor data concentrators to prevent further propagation of the attack; meanwhile, the disconnected yet uncompromised PMUs will be reconnected to the network to "self-heal" and thus restore the observability of the power system. Specifically, we formulate an integer linear programming model to minimize the overhead of the self-healing process (e.g., the recovery latency), while considering the constraints of power system observability, hardware resources, and network topology. We also propose a heuristic algorithm to decrease the computational complexity. Case studies of a PMU network based on the IEEE 30-bus and 118-bus systems are used to validate the effectiveness of the self-healing mechanism.},
doi = {10.1109/TSG.2016.2593021},
journal = {IEEE Transactions on Smart Grid},
issn = {1949-3053},
number = 3,
volume = 9,
place = {United States},
year = {2018},
month = {5}
}