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Power control improvement of doubly fed induction generator based on wind energy conversion system

机译:基于风能转换系统的双馈感应发电机功率控制改进

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This paper presents a doubly fed induction generation (DFIG) model, the control and simulation of grid connected DFIG for wind energy conversion system. Two control strategies are proposed; the direct control approach based on PI controller and another recent control strategy which is the Artificial Neural Network based on two layers. The active and reactive powers are both controlled in the rotor side converter and the grid side converter. The simulation of the system shows performed results with the proposed control strategies.
机译:本文提出了双馈感应发电(DFIG)模型,并网控制了风电转换系统DFIG的控制和仿真。提出了两种控制策略;基于PI控制器的直接控制方法和最近的另一种控制策略是基于两层的人工神经网络。有功功率和无功功率都在转子侧变流器和电网侧变流器中进行控制。系统仿真显示了所提出的控制策略的执行结果。

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