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A detecting approach of harmonic currents based on the circuit model and neural network theory

机译:基于电路模型和神经网络理论的谐波电流检测方法

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摘要

To detect the harmonic and reactive currents of an active power filter, an equivalent circuit model of three-phase non-linear load is established. Using the model, a new detection approach of harmonic and reactive currents based on the artificial neural networks (ANN) is proposed. In this approach, the non-linear current is decomposed into the fundamental and the harmonic and reactive currents. As the resistance load in the model is approximated by using the ANN, the active component fundamental current, the harmonic and reactive currents are obtained. The simulation results show the effectiveness of the approach proposed.
机译:为了检测有源电力滤波器的谐波和无功电流,建立了三相非线性负载的等效电路模型。利用该模型,提出了一种新的基于人工神经网络的谐波和无功电流检测方法。在这种方法中,非线性电流被分解为基波电流,谐波电流和无功电流。通过使用ANN近似模型中的电阻负载,可以获得有功分量基本电流,谐波和无功电流。仿真结果表明了该方法的有效性。

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