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Model-predictive direct power control of doubly-fed induction generators under unbalanced grid voltage conditions in wind energy applications

机译:风能应用中不平衡电网电压条件下双馈感应发电机的模型预测直接功率控制

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摘要

Unbalanced grid voltage conditions in wind farms degrade the performance of the wind turbines and inject severely distorted current into the power system. This study proposes a new model-predictive direct power control strategy for a doubly-fed induction generator (DFIG) under unbalanced grid voltage conditions. An optimised cost function is derived in order to select an appropriate voltage vector. This directly regulates the instantaneous active and reactive powers in the stationary stator reference frame without the requirement for coordinate transformation, proportional-integral regulators, switching table or pulse-width modulation modulators. After that, the behaviour of the DFIGs under unbalanced grid voltage is investigated. A power compensation scheme is developed, which does not require the extraction of the negative stator current sequence. This can achieve several different control objectives; that is, obtaining sinusoidal and symmetrical stator currents, and the cancellation of electromagnetic torque oscillations. The effectiveness of the proposed control strategy is validated experimentally on a 20 kW laboratory DFIG prototype.
机译:风电场中电网电压的不平衡状况会降低风力涡轮机的性能,并将严重失真的电流注入电力系统。这项研究为电网不平衡条件下的双馈感应发电机(DFIG)提出了一种新的模型预测直接功率控制策略。为了选择合适的电压矢量,导出了优化的成本函数。这样可以直接在固定定子参考系中调节瞬时有功功率和无功功率,而无需坐标变换,比例积分调节器,切换表或脉宽调制调制器。此后,研究了在不平衡电网电压下DFIG的行为。开发了一种功率补偿方案,该方案不需要提取负定子电流序列。这可以实现几个不同的控制目标。即获得正弦和对称的定子电流,并消除电磁转矩振荡。在20 kW实验室DFIG原型上通过实验验证了该控制策略的有效性。

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