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 algorithm, 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, thereby enhancing the system's resilience to disruptions. The simulation results reveal that 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 confirm the efficacy of the proposed control technique against alternative techniques.