Doubly fed induction generators (DFIGs) are vulnerable to grid related electrical faults. Standards require DFIGs to be disconnected from the grid unless augmented with a fault ride through (FRT) capability. A fault current limiter (FCL) can enhance the overall stability of wind farms and allow them to maintain grid-code requirements. In this paper, a neuro fuzzy logic controlled parallel resonance type fault current limiter (NFLC-PRFCL) is proposed to enhance the FRT capability of the DFIG based wind farm. Theoretical and graphical analysis of the proposed method are carried out by MATLAB/Simulink software. The performance of the NFLC-PRFCL is compared with other documented FCL devices, e.g., the bridge type fault current limiter (BFCL) and the series dynamic braking resistor (SDBR). The performance of the NFLC-PRFCL is also compared with that of the existing fuzzy logic controlled parallel resonance fault current limiter (FLC-PRFCL). From the simulation results, it is found that the NFLC-PRFCL outperforms its competitors and enables the DFIG to maintain a near-seamless performance during various fault events.

中文翻译：

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神经模糊逻辑控制并联谐振型故障限流器提高双馈风电场故障穿越能力

双馈感应发电机 (DFIG) 容易受到与电网相关的电气故障的影响。标准要求 DFIG 与电网断开连接，除非增加了故障穿越 (FRT) 能力。故障电流限制器 (FCL) 可以增强风电场的整体稳定性，并允许它们维持电网规范要求。在本文中，提出了一种神经模糊逻辑控制的并联谐振型故障限流器（NFLC-PRFCL）来增强基于双馈的风电场的 FRT 能力。所提出的方法的理论和图形分析是通过MATLAB/Simulink 软件进行的。NFLC-PRFCL 的性能与其他已记录的 FCL 设备进行了比较，例如桥式故障电流限制器 (BFCL) 和串联动态制动电阻器 (SDBR)。NFLC-PRFCL 的性能还与现有的模糊逻辑控制并联谐振故障限流器 (FLC-PRFCL) 的性能进行了比较。从仿真结果可以看出，NFLC-PRCLL 的性能优于其竞争对手，并使 DFIG 在各种故障事件期间保持近乎无缝的性能。