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Fuzzy Control Boosts DC Microgrid Stability with Hybrid Battery-SMES Storage

Fuzzy Control Boosts DC Microgrid Stability with Hybrid Battery-SMES Storage

⚡ AI Executive Summary

Researchers have developed a cooperative control strategy for lithium battery and superconducting magnetic energy storage (SMES) systems in grid-connected DC microgrids, addressing voltage instability and state-of-charge imbalance issues. The two-dimensional fuzzy logic approach is critical for microgrids integrating renewable energy and hybrid storage, where rapid voltage compensation is essential for safe operation and equipment protection. The method reduces voltage settling time by 43% compared to conventional droop control, offering a practical pathway for more stable and resilient distributed energy systems.

DC microgrids powered by renewable energy face persistent challenges in maintaining voltage stability when subject to sudden power fluctuations. Hybrid energy storage systems combining lithium batteries with superconducting magnetic energy storage (SMES) can mitigate these disturbances, but coordinating their operation remains complex. Researchers have now proposed an advanced control strategy that leverages the complementary strengths of both technologies.

The approach hinges on two key innovations. First, SMES devices are controlled using a zero steady-state error voltage tracking method that capitalizes on their millisecond-level response capability to instantly compensate for power surges or dips without overshoot. Second, a two-dimensional fuzzy logic controller dynamically allocates power between the battery and SMES based on their respective state-of-charge levels, replacing conventional low-pass filtering methods that cannot adapt to changing system conditions.

Simulation results in MATLAB/Simulink demonstrate substantial performance gains. Voltage settling time—the time required for the DC bus to stabilize after a disturbance—decreased by more than 43% compared to improved droop control methods. When compared against supercapacitor-based storage schemes, SMES configurations achieved 57.5% faster recovery. The fuzzy logic approach also proved superior at maintaining battery SOC within safe operating ranges, extending battery lifespan and reducing maintenance risk.

Small-signal stability analysis via frequency sweep simulations confirmed that the control strategy does not introduce unfavorable impedance characteristics that could destabilize the microgrid. This validates the approach for real-world deployment in industrial, commercial, and utility-scale microgrids integrating solar, wind, and other distributed resources. The work addresses a critical gap in hybrid energy storage coordination, offering grid operators a proven method to enhance resilience while protecting expensive battery assets from deep discharge cycling.

#hybrid energy storage#SMES#DC microgrid#fuzzy logic control#voltage stability#lithium battery#state-of-charge management
Original source: IET Smart Grid ↗

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