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Mitigation of Adverse Effect of False Data Injection in Optimally Controlled Smart Grid

[+] Author Affiliations
Malini Ghosal, Vittal Rao

Texas Tech University, Lubbock, TX

Paper No. POWER2015-49689, pp. V001T11A010; 10 pages
  • ASME 2015 Power Conference collocated with the ASME 2015 9th International Conference on Energy Sustainability, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum
  • ASME 2015 Power Conference
  • San Diego, California, USA, June 28–July 2, 2015
  • Conference Sponsors: Power Division
  • ISBN: 978-0-7918-5660-4
  • Copyright © 2015 by ASME


The ‘smart grid’ is one of the largest critical infrastructure systems of any nation. Preventing the grid from data integrity attacks is vital for reliable operation of the grid. Various Phasor Measurement Units (PMUs) and other intelligent electronic devices play crucial role in real-time operations of the grid. Control actions are taken based on information received from such devices. However, all these modern measurement systems communicate with the control center via wireless network making them vulnerable to several security threats, data integrity attack being one of them. This paper addresses the issues associated with the injection of malicious data into the measurements. A model based ‘trustiness’ technique has been proposed to mitigate the adverse effect of such attacks in the performance of the electrical power grid. The proposed method has been demonstrated using the IEEE 14-bus test system.

Copyright © 2015 by ASME
Topics: Smart grids



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