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Consensus-Based Power System State Estimation Algorithm Under Collaborative Attack.

Zhijian Cheng1, Guanjun Chen2, Xiao-Meng Li3

  • 1School of Automation, Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control, and Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou 510006, China.

Sensors (Basel, Switzerland)
|November 9, 2024
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Summary
This summary is machine-generated.

This study addresses cyber security for power systems by developing a new distributed estimator to counter collaborative attacks. The research ensures stable power system operation against denial-of-service and false data injection threats.

Keywords:
collaborative attacksdenial of service attackdistributed state estimationfalse data injection attackpower systems

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Control Theory

Background:

  • Power systems are increasingly vulnerable to sophisticated cyber attacks.
  • Understanding attacker behavior is crucial for maintaining grid stability.
  • Existing defenses may not address collaborative attack strategies.

Purpose of the Study:

  • To investigate distributed state estimation in power systems under collaborative cyber attacks.
  • To develop a novel consensus-based distributed estimator resilient to hybrid attacks.
  • To ensure the safe and stable operation of power grids.

Main Methods:

  • Modeling denial-of-service (DoS) attacks on RTU/PMU measurements.
  • Constructing false data injection (FDI) attack models for estimation information.
  • Designing a consensus-based distributed estimator integrating DoS and FDI models.
  • Utilizing Lyapunov stability analysis to guarantee estimator performance.

Main Results:

  • A novel distributed estimator capable of handling collaborative DoS and FDI attacks was designed.
  • Lyapunov stability analysis provided sufficient conditions for the estimator's stability.
  • A suitable consensus gain matrix was determined for optimal performance.
  • Simulation on an IEEE 14-bus system validated the algorithm's effectiveness.

Conclusions:

  • The proposed distributed estimator effectively addresses collaborative cyber attacks in power systems.
  • The developed method ensures reliable state estimation for grid stability.
  • The findings contribute to enhancing the cyber security of critical infrastructure.