Distributed Multiagent-Based Event-Driven Fault-Tolerant Control of Islanded Microgrids.

Area of Science:

• Electrical Engineering
• Control Systems
• Power Systems

Background:

• AC microgrids require robust secondary control for stable load voltage regulation.
• Distributed generators (DGs) are susceptible to actuator faults like partial loss of effectiveness (PLOE) and bias faults.
• Existing control strategies may not adequately address heterogeneous and time-varying fault parameters or full-state immeasurability.

Purpose of the Study:

• To propose an observer-based event-driven fault-tolerant (OBEDFT) secondary control strategy for AC microgrids.
• To achieve precise load voltage regulation despite actuator faults in DGs.
• To develop a control protocol that handles immeasurable states and time-varying fault parameters.

Main Methods:

• Input-output feedback linearization to transform voltage regulation into an output feedback tracking problem for linear multiagent systems (MASs).
• An OBEDFT secondary control protocol incorporating adaptive techniques to manage fault parameters without explicit knowledge.
• Event-driven mechanisms for discrete measurements and boundary layers for smooth controller design to prevent chattering.

Main Results:

• The proposed OBEDFT strategy effectively regulates load voltage in AC microgrids.
• The control protocol successfully compensates for heterogeneous and time-varying actuator faults (PLOE and bias faults) in DGs.
• Simulation results validate the strategy's performance and robustness under fault conditions.

Conclusions:

• The OBEDFT secondary control strategy offers a reliable solution for load voltage regulation in AC microgrids.
• The adaptive and event-driven approach enhances fault tolerance and control performance.
• The method demonstrates effectiveness in managing complex fault scenarios in distributed generator systems.