低电压穿越条件下并网逆变器多矢量模型预测功率控制研究

Research on Multi Vector Model Predictive Power Control of Grid Connected Inverter under Low Voltage Ride Through

  • 摘要: 为了满足光伏电站的低电压穿越要求,需要保障在电网电压跌落时光伏电站依然能够维持并网,快速向电网提供一定的有功功率和无功功率,改善并网质量。为此提出一种多矢量模型预测功率控制方法,该方法避免了对六对基本电压矢量的重复调制,而是在每个周期中始终选择一对基本电压矢量和两个零矢量以对称方式执行调制,有效降低了网侧电流谐波含量,同时减少了计算时间,且具有固定的开关频率。此外,为了避免负责反馈信号的观测器因低电压穿越引起观测误差以及节约硬件成本,在此引入滑模观测器,并在滤波方法上加以改进,避免了对精确角频率的依赖。最后,通过仿真和试验验证了所提方法的正确性及有效性。

     

    Abstract: In order to meet the low voltage ride-through capability of photovoltaic power plants, it is necessary to ensure that photovoltaic power plants can still maintain grid connection when grid voltage drops, and provide certain active and reactive power to the grid quickly. A multi-vector model predictive power control method is proposed, which avoids the repetitive modulation of six pairs of basic voltage vectors, and selects a pair of basic voltage vectors and two zero vectors to perform the modulation symmetrically in each cycle. The grid side current harmonic content is reduced effectively. The calculation time is also reduced, and the grid side current has a fixed switching frequency. In addition, in order to avoid the observation error caused by the low voltage ride through of the observer responsible for the feedback signal and save the hardware cost, the sliding mode observer is introduced here. The filtering method is improved to avoid dependence on accurate angular frequency. Finally, the correctness and effectiveness of the proposed method are verified by simulation and experiment.

     

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