Distributed adaptive optimal secondary control for AC islanded microgrid under multiple event-triggered mechanisms

Area of Science:

• Electrical Engineering
• Control Systems
• Renewable Energy Integration

Background:

• AC islanded microgrids require robust control for stable operation.
• Traditional control methods often rely on frequent communication, increasing costs and bandwidth usage.
• Ensuring consistent frequency, voltage, and proportional active power sharing is crucial for microgrid stability.

Purpose of the Study:

• To propose a novel distributed secondary event-triggered control strategy for AC islanded microgrids.
• To achieve frequency and voltage consistency and proportional active power sharing.
• To reduce communication load and control costs through sparse communication.

Main Methods:

• A distributed secondary event-triggered control strategy is developed.
• A time-varying adaptive updating law for frequency and voltage is proposed.
• Lyapunov stability theory is employed to prove system stability and consistency.
• Zeno behavior is analyzed and confirmed to be absent.

Main Results:

• The proposed strategy ensures frequency and voltage consistency.
• Proportional sharing of active power among distributed generators (DGs) is achieved.
• Event-triggered communication significantly reduces data exchange compared to periodic methods.
• Simulations confirm the effectiveness and stability of the control strategy.

Conclusions:

• The novel event-triggered control strategy effectively stabilizes AC islanded microgrids.
• The approach optimizes communication efficiency and control costs.
• The method guarantees system stability and reliable power sharing.