Modeling and distributed gain scheduling strategy for load frequency control in smart grids with communication...

Area of Science:

• Electrical Engineering
• Control Systems Engineering
• Power Systems

Background:

• Smart grids require reliable load frequency control (LFC) for stability.
• Communication network variations (link failures, packet losses) challenge existing LFC methods.
• Dynamic performance degradation is a key concern in real-world smart grids.

Purpose of the Study:

• To develop a robust distributed control strategy for LFC in smart grids with time-varying communication topologies.
• To model and analyze the impact of communication topology changes on power system dynamics.
• To enhance the resilience and reduce computational load of smart grid control systems.

Main Methods:

• A novel closed-loop power system model integrating time-varying communication topology matrices.
• Analysis of the global asymptotical stability of the proposed power system model.
• Development and application of a distributed gain scheduling LFC strategy.

Main Results:

• The proposed model accurately integrates communication topology changes into power system dynamics.
• The distributed gain scheduling LFC strategy effectively compensates for performance degradation.
• The new approach demonstrates improved robustness against communication network variations compared to centralized methods.

Conclusions:

• The proposed distributed gain scheduling LFC strategy enhances smart grid robustness to communication topology changes.
• This method offers a more practical and resilient solution for LFC in dynamic smart grid environments.
• The approach reduces computational load while improving overall system performance and stability.