A prediction algorithm to enhance grid resilience toward cyber attacks in WAMCS applications

Ahmed S. Musleh, Haris M. Khalid, S. M. Muyeen, Ahmed Al-Durra

Research output: Contribution to journalArticlepeer-review

77 Scopus citations

Abstract

Monitoring and control of electrical power grids are highly reliant on the accuracy of the digital measurements. These digital measurements reflect the precision of the installed sensors, which are vulnerable to the injection of unknown parameters in the form of device malfunction and cyberattacks. This may question the operational security and reliability of many cyberphysical infrastructure such as smart grid. To resolve this issue, a multisensor temporal prediction based wide-area control scheme is proposed in this paper. The feasibility of the designed scheme is verified in an advanced synchrophasor measurements based wide-area monitoring and control system (WAMCS). This WAMCS adopts a flexible ac transmission system device (the primary controller) for controlling the smart grid's voltage profile. The algorithm is validated in a real-time environment with an innovative software-in-the-loop testing setup. The performance of the proposed technique in the presence of false-data-injection attacks shows promising results.

Original languageBritish English
Article number8038032
Pages (from-to)710-719
Number of pages10
JournalIEEE Systems Journal
Volume13
Issue number1
DOIs
StatePublished - Mar 2019

Keywords

  • Control system (WAMCS)
  • Cyber security
  • Cyber-physical systems
  • Distributed Kalman filter (KF)
  • False-data-injection attack
  • Flexible ac transmission system (FACTS)
  • Phasor measurement unit (PMU)
  • Real-time digital simulator (RTDS)
  • Smart grid
  • Wide-area monitoring

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