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Enabling a Resilient and Self-healing PMU Infrastructure Using Centralized Network Control

Authors:

Yanfeng Qu,

Xin Liu,

Dong Jin,

Yuan Hong,

Chen ChenAuthors Info & Claims

SDN-NFV Sec'18: Proceedings of the 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization

Pages 13 - 18

https://doi.org/10.1145/3180465.3180472

Published: 14 March 2018 Publication History

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Abstract

Many of the emerging wide-area monitoring protection and control (WAMPAC) applications in modern electrical grids rely heavily on the availability and integrity of widespread phasor measurement unit (PMU) data. Therefore, it is critical to protect PMU networks against growing cyber-attacks and system faults. In this paper, we present a self-healing PMU network design that considers both power system observability and communication network characteristics. Our design utilizes centralized network control, such as the emerging software-defined networking (SDN) technology, to design resilient network self-healing algorithms against cyber-attacks. Upon detection of a cyber-attack, the PMU network can reconfigure itself to isolate compromised devices and re-route measurement data with the goal of preserving the power system observability. We have developed a proof-of-concept system in a container-based network testbed using integer linear programming to solve a graph-based PMU system model. We also evaluate the system performance regarding the self-healing plan generation and installation using the IEEE 30-bus system.

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Cited By

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Grammatikis PSarigiannidis PDalamagkas CSpyridis YLagkas TEfstathopoulos GSesis APavon IBurgos RDiaz RSarigiannidis APapamartzivanos DMenesidou SLedakis GPasias AKotsiopoulos TDrosou AMavropoulos OSubirachs ASola PDomínguez-García JEscalante MAlberto MCaracuel BRamos FGkioulos VKatsikas SBolstad HArcher DPaunovic NGallart RRokkas TArce A(2021)SDN-Based Resilient Smart Grid: The SDN-microSENSE ArchitectureDigital10.3390/digital10400131:4(173-187)Online publication date: 30-Sep-2021
https://doi.org/10.3390/digital1040013
Pasias AKotsiopoulos TLazaridis GDrosou ATzovaras DSarigiannidis P(2021)Enabling Cyber-attack Mitigation Techniques in a Software Defined Network2021 IEEE International Conference on Cyber Security and Resilience (CSR)10.1109/CSR51186.2021.9527932(497-502)Online publication date: 26-Jul-2021
https://doi.org/10.1109/CSR51186.2021.9527932
Qu YChen GLiu XYan JChen BJin D(2020)Cyber-Resilience Enhancement of PMU Networks Using Software-Defined Networking2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)10.1109/SmartGridComm47815.2020.9303004(1-7)Online publication date: 11-Nov-2020
https://doi.org/10.1109/SmartGridComm47815.2020.9303004
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Index Terms

Enabling a Resilient and Self-healing PMU Infrastructure Using Centralized Network Control
1. Hardware
  1. Power and energy
    1. Energy distribution
      1. Smart grid
2. Networks
  1. Network architectures
  2. Network properties
    1. Network reliability

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Information & Contributors

Information

Published In

SDN-NFV Sec'18: Proceedings of the 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization

March 2018

64 pages

ISBN:9781450356350

DOI:10.1145/3180465

General Chairs:
Gail-Joon Ahn
Arizona State University, USA and Samsung Research, Korea
,
Guofei Gu
Texas A&M University, USA
,
Program Chairs:
Hongxin Hu
Clemson University, USA
,
Seungwon Shin
KAIST, Korea

© 2018 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2018

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Research-article

Funding Sources

Air Force Office of Scientific Research

Conference

CODASPY '18

Sponsor:

SIGSAC

CODASPY '18: Eighth ACM Conference on Data and Application Security and Privacy

March 21, 2018

AZ, Tempe, USA

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Overall Acceptance Rate 11 of 30 submissions, 37%

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Cited By

View all

Grammatikis PSarigiannidis PDalamagkas CSpyridis YLagkas TEfstathopoulos GSesis APavon IBurgos RDiaz RSarigiannidis APapamartzivanos DMenesidou SLedakis GPasias AKotsiopoulos TDrosou AMavropoulos OSubirachs ASola PDomínguez-García JEscalante MAlberto MCaracuel BRamos FGkioulos VKatsikas SBolstad HArcher DPaunovic NGallart RRokkas TArce A(2021)SDN-Based Resilient Smart Grid: The SDN-microSENSE ArchitectureDigital10.3390/digital10400131:4(173-187)Online publication date: 30-Sep-2021
https://doi.org/10.3390/digital1040013
Pasias AKotsiopoulos TLazaridis GDrosou ATzovaras DSarigiannidis P(2021)Enabling Cyber-attack Mitigation Techniques in a Software Defined Network2021 IEEE International Conference on Cyber Security and Resilience (CSR)10.1109/CSR51186.2021.9527932(497-502)Online publication date: 26-Jul-2021
https://doi.org/10.1109/CSR51186.2021.9527932
Qu YChen GLiu XYan JChen BJin D(2020)Cyber-Resilience Enhancement of PMU Networks Using Software-Defined Networking2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)10.1109/SmartGridComm47815.2020.9303004(1-7)Online publication date: 11-Nov-2020
https://doi.org/10.1109/SmartGridComm47815.2020.9303004
Qu YLiu XYan JJin D(2020)Dynamic Data-Driven Self-healing Application for Phasor Measurement Unit NetworksDynamic Data Driven Application Systems10.1007/978-3-030-61725-7_12(85-92)Online publication date: 3-Nov-2020
https://doi.org/10.1007/978-3-030-61725-7_12

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Mining PMU Data Streams to Improve Electric Power System Resilience

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