Event-Triggered Consensus Algorithm for Power Sharing with Abnormal Communication in Microgrids

Paper i proceeding, 2023

The precision and stability of droop control are easily affected by the difference of feeder impedance values and hardware filters in islanded inverter-based microgrids with distributed generations. To improve the performance of the conventional droop control, a distributed hierarchical control framework is introduced in this paper for reactive power sharing. Due to limited communication and transmission delays, an improved discrete consensus algorithm is proposed to reduce the overshoot and convergence error. Moreover, according to Lyapunov's second theorem, an event-triggered mechanism is adopted to control time instants of iteration calculation for each agent, and therefore to save communication resources. The proposed control scheme is extended to applications for the case of time-varying communication delays to compensate iteration error and negative effect due to delays in a distributed multi-agent system. To verify the feasibility and superiority of the proposed control scheme, simulations are implemented in MATLAB/Simulink. Several case studies and their results show that the proposed method can improve the convergence speed and the dynamic stability.