Resilient Adaptive Event-Triggered Load Frequency Control of Network-Based Power Systems against Deception Attacks

Area of Science:

• Electrical Engineering
• Control Systems
• Cybersecurity

Background:

• Networked power systems face challenges from deception attacks impacting load frequency control (LFC).
• Existing event-triggered schemes (ETS) may not optimally manage communication load under cyber threats.
• Maintaining robust control performance with limited network resources is crucial.

Purpose of the Study:

• To develop a novel adaptive event-triggered scheme (ETS) for networked load frequency control (LFC) in power systems (PSs).
• To enhance resilience against deception attacks while optimizing communication network load.
• To establish conditions for balancing communication resource usage and LFC performance.

Main Methods:

• Design of a new adaptive ETS for LFC systems in power systems.
• Analysis of system stability and performance under deception attacks.
• Derivation of sufficient conditions for performance trade-offs.

Main Results:

• The proposed adaptive ETS effectively reduces the average data-releasing rate by adjusting packet triggering.
• Sufficient conditions were derived to ensure a trade-off between communication resources and LFC performance.
• The approach demonstrated advantages in an application case for power systems.

Conclusions:

• The adaptive ETS offers an effective solution for secure and efficient networked LFC in power systems.
• This method optimizes communication load without compromising essential control performance.
• The findings contribute to enhancing the cybersecurity and stability of modern power grids.