Memory-Based Event-Triggering H_∞ Load Frequency Control for Power Systems Under Deception Attacks.

Area of Science:

• Control Systems Engineering
• Power Systems Analysis
• Networked Systems Security

Background:

• Power systems require robust load frequency control (LFC) for stability.
• Open networks introduce bandwidth constraints and vulnerability to deception attacks.
• Existing event-triggered control methods may not fully utilize available data under these conditions.

Purpose of the Study:

• To propose a memory-based event-triggering H∞ LFC method for bandwidth-constrained open networks.
• To develop a scheme that reduces data transmission while improving control performance.
• To address random deception attacks in networked power systems.

Main Methods:

• A memory-based event-triggered scheme (METS) was developed to leverage historical signal data.
• A unified framework was established to model the interplay of METS and random deception attacks.
• A sufficient stabilization criterion was derived for simultaneous controller gain and event-triggering parameter optimization.

Main Results:

• The proposed METS effectively reduces transmitted packets compared to memoryless schemes.
• The memory-based approach utilizes the latest released signals for enhanced control.
• The derived criterion ensures system stabilization under network constraints and attacks.

Conclusions:

• The memory-based event-triggering H∞ LFC method significantly improves control performance.
• The approach is effective in mitigating bandwidth limitations and random deception attacks.
• The study demonstrates a superior control strategy for modern networked power systems.