An Improved Sampled-Date-Based Distributed Event-Triggered Secondary Control in Islanded Microgrids

At the microgrid secondary control level, distributed event triggering is widely studied to improve system efficiency, but the general event triggering schemes are continuous state domain. The majority of control algorithms used in current control systems, particularly system-level control algorithms, are implemented using digital controllers and digital communication in discrete time. For this reason, this paper proposes a event-triggered control strategy based on sampled data at the secondary control level for frequency recovery and power sharing in islanded microgrids. Unlike existing event-triggered control schemes, the control algorithm proposed in this paper is based on sampled data. Therefore, only at the instant of sample moment can an event be initiated or a controller updated, and the communication transfer between agents at each sampling time is no longer required, which reduces the communication and computation cost and effectively avoids Zeno behavior. Finally, a simulation model is built in MATLAB/Simulink environment to verify the effectiveness of the proposed strategy.