Event-Triggered Distributed Secondary Control With Model-Free Predictive Compensation in AC/DC Networked Microgrids...

Area of Science:

• Electrical Engineering
• Control Systems
• Power Systems

Background:

• Ac/dc networked microgrids face challenges with communication burden and power distribution accuracy.
• Denial-of-Service (DoS) attacks disrupt secondary control, impacting microgrid stability.
• Existing control methods may lack robustness against cyber-attacks and communication constraints.

Purpose of the Study:

• To develop an event-triggered distributed secondary control strategy for ac/dc networked microgrids.
• To enhance microgrid resilience against Denial-of-Service (DoS) attacks.
• To improve communication efficiency and power distribution accuracy.

Main Methods:

• Modeling of ac/dc networked microgrids, including electric and communication networks.
• Design of an event-triggered distributed secondary control algorithm.
• Implementation of a compensation algorithm using model-free predictive control (MFPC) for DoS attack scenarios.
• Analysis of control system convergence under varying attack conditions.

Main Results:

• The proposed event-triggered control effectively reduces communication burden.
• Predictive compensation mitigates the impact of DoS attacks, maintaining stable operation.
• The control strategy demonstrates improved power distribution accuracy.
• Hardware-in-loop (HIL) simulations validated the effectiveness of the proposed control.

Conclusions:

• The developed event-triggered distributed secondary control with MFPC-based compensation is effective for ac/dc microgrids.
• The strategy enhances microgrid stability and performance under DoS attacks.
• This approach offers a robust solution for secure and efficient microgrid operation.