TY - GEN
T1 - Enabling a resilient and self-healing PMU infrastructure using centralized network control
AU - Qu, Yanfeng
AU - Liu, Xin
AU - Jin, Dong
AU - Hong, Yuan
AU - Chen, Chen
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/3/14
Y1 - 2018/3/14
N2 - 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.
AB - 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.
KW - Cyber Resilience and Security
KW - Phasor Measurement Unit (PMU)
KW - Power System Observability
KW - Software-Defined Networking (SDN)
UR - https://www.scopus.com/pages/publications/85052012751
U2 - 10.1145/3180465.3180472
DO - 10.1145/3180465.3180472
M3 - 会议稿件
AN - SCOPUS:85052012751
T3 - SDN-NFVSec 2018 - Proceedings of the 2018 ACM International Workshop on Security in Software Defined Networks and Network Function Virtualization, Co-located with CODASPY 2018
SP - 13
EP - 18
BT - SDN-NFVSec 2018 - Proceedings of the 2018 ACM International Workshop on Security in Software Defined Networks and Network Function Virtualization, Co-located with CODASPY 2018
PB - Association for Computing Machinery, Inc
T2 - 2018 ACM International Workshop on Security in Software Defined Networks and Network Function Virtualization, SDN-NFVSec 2018
Y2 - 21 March 2018
ER -