Mixed Time-State Dependent Distributed Event-Triggered Consensus Protocol of a DC Microgrids Cluster

EasyChair Preprint 15531

Abstract

This paper introduces a novel mixed time-state dependent distributed event-triggered consensus protocol (MDETC) designed to notably minimize communication requirements among microgrids (MGs) within a cluster while mitigating Zeno behavior. Additionally, a fixed-time consensus algo-rithm, enhanced by a saturation function, is integrated into the secondary control level to augment the current convergence within the cluster. The Grey Wolf Optimizer (GWO) method is employed to adjust the parameters of proportional-integral (PI) controllers at the primary control layer, there-by enhancing the system's resilience to disruptions. The simulation results reveal the proposed control technique outperforms existing strategies in the literature, particularly in reducing triggering instants, and ensuring swift convergence of currents along with rapid voltage recovery under diverse operating conditions. A simulation involving a cluster comprising four DC MGs is conducted in the MATLAB environment to validate the effective-ness of the proposed control approach against alternative techniques

Keyphrases: Clustered DCMGs, MDETC, current sharing, fixed time consensus algorithm, voltage regulation

@booklet{EasyChair:15531,
  author    = {Zaid Al-Tameemi and Tek Lie and Ramon Zamora and Frede Blaabjerg},
  title     = {Mixed Time-State Dependent Distributed Event-Triggered Consensus Protocol of a DC Microgrids Cluster},
  howpublished = {EasyChair Preprint 15531},
  year      = {EasyChair, 2024}}