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Parameter Tuning for Wind Turbine with Doubly Fed Induction Generator Using PSO

机译:基于PSO的双馈感应发电机风力机参数整定。

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The rotor of the doubly fed induction generator (DFIG) is fed back from the grid via back-to-back converters. Under the disturbance, the rotor current increases to maintain the terminal voltage and the rotor rotating speed of DFIG, while the current in the grid side converter also increases to keep the DC-Link voltage constant. In this situation, the overshoots of the currents flowing through the converters stress the operation condition of the back-to-back converters, even destroy the converters. The controllers of the back-to-back converters have significant impact on the dynamics of the rotor current. In this paper, the parameters of back-to-back converter controller are tuned with the objective of reducing the maximum value of the currents using particle swarm optimization. Using the parameters optimized, the overshoot of the currents can be decreased.
机译:双馈感应发电机(DFIG)的转子通过背对背转换器从电网反馈。在扰动下,转子电流增加以保持端子电压和DFIG的转子转速,而电网侧转换器中的电流也增加以保持DC-Link电压恒定。在这种情况下,流过转换器的电流的过冲会给背靠背转换器的工作状态带来压力,甚至会损坏转换器。背对背转换器的控制器对转子电流的动态影响很大。本文对背靠背变换器控制器的参数进行了调整,目的是使用粒子群算法来减小电流的最大值。使用优化的参数,可以减少电流的过冲。

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