Modeling and Mitigating Impact of False Data Injection Attacks on Automatic Generation Control

@article{Tan2017ModelingAM,
  title={Modeling and Mitigating Impact of False Data Injection Attacks on Automatic Generation Control},
  author={Rui Tan and Hoang Hai Nguyen and Eddy. Y. S. Foo and David K. Y. Yau and Zbigniew T. Kalbarczyk and Ravishankar K. Iyer and Hoay Beng Gooi},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2017},
  volume={12},
  pages={1609-1624}
}
This paper studies the impact of false data injection (FDI) attacks on automatic generation control (AGC), a fundamental control system used in all power grids to maintain the grid frequency at a nominal value. Attacks on the sensor measurements for AGC can cause frequency excursion that triggers remedial actions, such as disconnecting customer loads or generators, leading to blackouts, and potentially costly equipment damage. We derive an attack impact model and analyze an optimal attack… CONTINUE READING
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Lauby, Power System Stability and Control

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