Security Event-Trigger-Based Distributed Energy Management Of Cyber-Physical Isolated Power System With Considering...

Area of Science:

• Electrical Engineering
• Control Systems
• Optimization Theory

Background:

• Cyber-physical systems present complex energy management challenges due to fusion and nonsmooth characteristics.
• Existing methods struggle with nonconvex and nondifferentiable economic objective functions in energy management.

Purpose of the Study:

• To propose a security event-trigger-based distributed approach for robust energy management in cyber-physical systems.
• To optimize social welfare by coordinately controlling power generators and load demand.
• To mitigate security risks and reduce communication burdens in energy management.

Main Methods:

• A smoothing technique using randomized gradient-free successive convex approximation is developed to address nonconvex and nondifferentiable issues.
• A security event-triggered mechanism is designed to enhance system resilience and manage security risks.
• A distributed algorithm is proposed and its convergence is mathematically proven.

Main Results:

• The proposed approach demonstrates good convergence performance on IEEE 9-bus and IEEE 39-bus systems.
• The method effectively reduces power system security risks compared to alternative approaches.
• The approach proves viable and promising for energy management in isolated cyber-physical power systems.

Conclusions:

• The security event-triggered distributed approach offers a robust solution for energy management in cyber-physical systems.
• The developed smoothing technique and event-triggered mechanism effectively address system complexities and security concerns.
• This work provides a promising direction for future research in resilient and efficient energy management.