Impact Analysis of a Bias Injection Cyber-Attack on a Power Plant

Efstathios Kontouras, Anthony Tzes, Leonidas Dritsas

Research output: Contribution to journalArticlepeer-review

Abstract

This paper addresses the concept of a bias injection cyber-attack on the load frequency control loop of a single-area power plant. The system evolves in the discrete-time domain and a convex and compact set of polyhedral state constraints represents a valid domain of safe operation under the effect of a stabilizing output-feedback controller. Whenever the safety constraints are violated, an alarm alerts the control center to a security breach. An attacker gains access to frequency sensor measurements and corrupts the data transferred to the automatic generation control unit. The objective of the adversary is to drive the electrical frequency to a safety-critical steady-state value without triggering an alarm. An analysis based on robust invariance concepts assesses the vulnerability of the system on this particular scenario and determines the maximal impact that such an attack can have without activating an alarm. Simulation studies highlight the effect of the cyber-attack on the physical plant.

Original languageEnglish (US)
Pages (from-to)11094-11099
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
StatePublished - Jul 2017

Keywords

  • Cyber-Attacks
  • Electric Power Systems
  • Invariance
  • Load Frequency Control

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Impact Analysis of a Bias Injection Cyber-Attack on a Power Plant'. Together they form a unique fingerprint.

Cite this