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A Review on False Data Injection in Smart Grids and the Techniques to Resolve Them

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • P. Asha

    (Sathyabama Institute of Science and Technology, Department of Computer Science and Engineering)

  • K. Deepika

    (Sathyabama Institute of Science and Technology)

  • J. Keerthana

    (Sathyabama Institute of Science and Technology)

  • B. Ankayarkanni

    (Sathyabama Institute of Science and Technology, Department of Computer Science and Engineering)

Abstract

Smart grid plays a vital role in electricity supply network by using digital communication technology. It is capable of easily detecting and reacting to the local changes in the usage and thereby working efficiently. Against all the smart grid monitoring system there are many cyber intrusion which creates severe threat to power to power system operation and false data injection is one among them. In this paper we discuss about the different techniques. Kalman filter, state estimation, bad data detection test, Phasor measurement units (PMU) installation are used to detect and minimize false data injection attack.

Suggested Citation

  • P. Asha & K. Deepika & J. Keerthana & B. Ankayarkanni, 2020. "A Review on False Data Injection in Smart Grids and the Techniques to Resolve Them," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 1487-1497, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_153
    DOI: 10.1007/978-3-030-41862-5_153
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