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    基于双PWM变换器的DFIG系统动态功率追踪及矢量控制研究

    Research on dynamic power tracking and vector control of DFIG system based on dual PWM converters

    • 摘要: 针对双馈感应发电机(DFIG)风力发电系统在频率波动条件下的动态功率调节问题,提出了一种基于双PWM变换器的动态功率追踪和矢量控制策略。采用经典的双PWM变换器拓扑结构,结合矢量控制方法,在MATLAB/Simulink环境下构建仿真模型,通过最大功率点追踪(MPPT)算法和虚拟惯性响应策略,实现了系统频率波动的快速响应。仿真结果表明,DFIG系统在负荷突变和风速变化条件下,能够有效地调节转子电流和电磁转矩,从而实现对系统频率的支撑。在MPPT+df/dt控制模式下,负荷突增时系统频率下跌幅度减少了32.7%,而负荷突减时频率上升峰值降低了30.3%。研究结果表明,通过该控制策略,DFIG系统的频率响应能力和并网稳定性得到了显著提升,验证了虚拟惯性控制在频率支撑中的有效性。

       

      Abstract: To address the issue of dynamic power regulation in doubly-fed induction generator (DFIG) wind power systems under frequency fluctuation conditions, a dynamic power tracking and vector control strategy based on dual PWM converters is proposed. Using a classic dual PWM converter topology and vector control method, a simulation model was constructed in the MATLAB/Simulink environment. Through maximum power point tracking (MPPT) algorithms and virtual inertia response strategies, fast response to system frequency fluctuations is achieved. Simulation results demonstrate that the DFIG system can effectively adjust rotor current and electromagnetic torque under sudden load changes and varying wind speeds, thereby providing frequency support to the system. In the MPPT+df/dt control mode, frequency drop under sudden load increase is reduced by 32.7%, while frequency peak during sudden load decrease is reduced by 30.3%. The study shows that this control strategy significantly improves the DFIG system's frequency response capability and grid stability, verifying the effectiveness of virtual inertia control in frequency support.

       

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