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To ensure compliance with grid code requirements, the fault ride-through (FRT) capability of doubly fed induction generator (DFIG)-based variable-speed wind turbines must be robustly enhanced. This study introduces a hybrid solution that integrates a resistive superconducting fault current limiter (R-SFCL) and a superconducting magnetic energy storage (SMES) system with a DFIG wind turbine. To address the nonlinear behavior in SMES operation arising from fluctuating coil currents during charging and discharging cycles, a neuro-fuzzy control strategy is developed, providing adaptive and precise control under dynamic conditions. The system’s critical parameters are rigorously analyzed under symmetrical voltage dip scenarios, considering three configurations: (i) without additional hardware support, (ii) with R-SFCL only, and (iii) with the combined deployment of R-SFCL and SMES. The results demonstrate a substantial reduction in peak values of critical parameters, with active power recovery improvements of 51% and 44.4% in the R-SFCL-only and R-SFCL-SMES configurations, respectively, over the baseline. Comparative analysis with existing studies confirms the superior performance and resilience of the proposed approach in enhancing FRT capabilities for DFIG-based wind turbines.

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Improving Fault Ride-Through Performance of DFIG Wind Turbines Through Integration of R-SFCL and SMES During Symmetrical Voltage Dip

  • 会议论文

  • 发表日期：

    2025年

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  • B. Garkki,
  • S. Revathi

摘要

To ensure compliance with grid code requirements, the fault ride-through (FRT) capability of doubly fed induction generator (DFIG)-based variable-speed wind turbines must be robustly enhanced. This study introduces a hybrid solution that integrates a resistive superconducting fault current limiter (R-SFCL) and a superconducting magnetic energy storage (SMES) system with a DFIG wind turbine. To address the nonlinear behavior in SMES operation arising from fluctuating coil currents during charging and discharging cycles, a neuro-fuzzy control strategy is developed, providing adaptive and precise control under dynamic conditions. The system’s critical parameters are rigorously analyzed under symmetrical voltage dip scenarios, considering three configurations: (i) without additional hardware support, (ii) with R-SFCL only, and (iii) with the combined deployment of R-SFCL and SMES. The results demonstrate a substantial reduction in peak values of critical parameters, with active power recovery improvements of 51% and 44.4% in the R-SFCL-only and R-SFCL-SMES configurations, respectively, over the baseline. Comparative analysis with existing studies confirms the superior performance and resilience of the proposed approach in enhancing FRT capabilities for DFIG-based wind turbines.