Self-healing attack-resilient PMU network for power system operation

Hui Lin, Chen Chen, Jianhui Wang, Junjian Qi, Dong Jin, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)1551-1565
Number of pages15
JournalIEEE Transactions on Smart Grid
Issue number3
StatePublished - May 2018


  • Cybersecurity
  • Phasor data concentrator (PDC)
  • Phasor measurement unit (PMU)
  • Resilience
  • Self-healing
  • Software-defined networking (SDN)
  • System observability

ASJC Scopus subject areas

  • Computer Science(all)


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