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A Novel Technique to Detect False Data Injection Attacks on Phasor Measurement Units.

Saleh Almasabi1, Turki Alsuwian1, Ehtasham Javed2

  • 1Electrical Engineering Department, College of Engineering, Najran University, Najran 11001, Saudi Arabia.

Sensors (Basel, Switzerland)
|September 10, 2021
PubMed
Summary

This study introduces a new method to detect false data injection attacks (FDIAs) in power grids using phasor measurement units (PMUs). The Phase Locking Value (PLV) technique effectively identifies these cyber threats, enhancing grid security.

Keywords:
cyber-physical securityfalse data injection attacksphase lock valuephasor measurement unitssmart gridsstate estimation

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Area of Science:

  • Electrical Engineering
  • Cybersecurity
  • Power Systems

Background:

  • Grid modernization increases reliance on technologies like phasor measurement units (PMUs) and advanced metering infrastructure (AMI).
  • Increased connectivity elevates the risk of cyber threats, including false data injection attacks (FDIAs), impacting grid stability.
  • Existing research on FDIAs primarily addresses DC and AC state estimators, leaving PMU-based systems less explored.

Purpose of the Study:

  • To investigate the vulnerabilities of PMU-based state estimation to false data injection attacks (FDIAs).
  • To develop and evaluate a novel technique for detecting FDIAs in PMU measurements.
  • To enhance the cybersecurity of modern power grids against sophisticated cyber threats.

Main Methods:

  • Developed a Phase Locking Value (PLV) technique specifically designed for FDIA detection in PMU data.
  • Simulated FDIAs targeting PMU-based state estimation in the IEEE 14-bus and IEEE 30-bus test systems.
  • Utilized Monte Carlo simulations to assess the performance of the PLV technique under various attack scenarios.

Main Results:

  • The proposed Phase Locking Value (PLV) technique demonstrated efficient performance in detecting FDIAs.
  • The study confirmed that compromising a single PMU can manipulate multiple states within the power grid.
  • The PLV method proved effective across different test systems and simulation scenarios.

Conclusions:

  • The Phase Locking Value (PLV) technique offers a robust solution for detecting false data injection attacks in PMU-based power grid state estimation.
  • Implementing the PLV technique can significantly improve the resilience of modernized power grids against cyber threats.
  • This research contributes to securing critical infrastructure by addressing a key vulnerability in smart grid technologies.