Distributed Finite-Time Cooperative Control for Microgrids Under Cyber-Physical Delays
DOI:
https://doi.org/10.56947/jmer.v3.3Keywords:
Multi-agent consensus, Hybrid energy storage systems (HESS), Lyapunov-Krasovskii functional, State-of-charge balancing, Voltage and frequency restoration, Supercapacitor power allocationAbstract
The integration of distributed generation into islanded microgrids necessitates robust secondary control to restore voltage and frequency deviations caused by primary droop control. While distributed consensus-based protocols have emerged as a scalable solution, they predominantly assume ideal communication networks or asymptotic convergence. In real-world cyber-physical microgrids, time-varying communication delays and the need for rapid, finite-time restoration present significant challenges, particularly when mitigating high-ramp-rate renewable fluctuations using Hybrid Energy Storage Systems (HESS). This paper proposes a distributed finite-time cooperative control framework for islanded microgrids equipped with battery-supercapacitor HESS, explicitly accounting for cyber-physical time-varying delays. A theoretical framework based on Lyapunov-Krasovskii functionals and fractional-order sliding mode dynamics is developed to guarantee finite-time stability of voltage and frequency restoration, even under delay bounds of up to 250 ms. A distributed state-of-charge (SoC) balancing and power allocation algorithm is further integrated to optimize HESS utilization, ensuring supercapacitors absorb transient high-frequency power components while batteries supply steady-state loads. The proposed methodology is validated on a modified IEEE 34-node test system. Numerical results demonstrate that the proposed controller achieves up to 65.3% faster settling times and reduces battery peak current by 42.1% compared to state-of-the-art asymptotic and uncompensated finite-time control baselines.