Consensus-Based Power System State Estimation Algorithm Under Collaborative Attack

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.