An Optimal Defense Strategy Against Data Integrity Attacks in Smart Grids

Hossein Salehghaffari, Farshad Khorrami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to several economical and technological factors, the integration of distributed microgrids into power networks is growing fast. In this paper, the impacts of false data injection attacks on power generation of distributed microgrids are considered. It is shown that the optimal power generation of distributed microgrids depends on the sensor measurements when economical factors as well as voltage angle regulation at buses are taken into account. Consequently, the attacker is able to change the optimal behavior of microgrids by spoofing the sensor measurements. The effects of the false data injection attacks on the behavior of microgrids in the power network are studied in a game theoretic framework. The interaction between the attacker and the system defender in a power network with multiple areas is considered as a zero-sum Markov game. The game solution specifies the optimal proportion of the times that the attacker and defender should attack and defend different measurements, respectively. The effectiveness of the proposed approach and properties of the game are studied through simulation studies.

Original languageEnglish (US)
Title of host publication2019 IEEE 58th Conference on Decision and Control, CDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5156-5161
Number of pages6
ISBN (Electronic)9781728113982
DOIs
StatePublished - Dec 2019
Event58th IEEE Conference on Decision and Control, CDC 2019 - Nice, France
Duration: Dec 11 2019Dec 13 2019

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2019-December
ISSN (Print)0743-1546

Conference

Conference58th IEEE Conference on Decision and Control, CDC 2019
CountryFrance
CityNice
Period12/11/1912/13/19

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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