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A Neural Network Adaptive Detecting Approach of Harmonic Current

机译:谐波电流的神经网络自适应检测方法

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A neural network adaptive detecting approach of harmonic current for APF (Active Power Filter) is proposed in this paper. It bases on the Adaptive Noise Canceling Technology (ANCT). Regarding the fundamental current as noise source, it can be cancelled from the load current, and then the harmonic current is obtained. Artificial Neural Network (ANN) with two layers is used to cancel the harmonics. The structure of this neural network and the adaptive adjusting algorithm are presented. The study has been carried out through detail digital dynamic simulation using the MATLAB Simulink Power System Toolbox. The results of simulation show that this approach can detect harmonic components at real time with high precision, little calculation and strong adaptive ability.Keywords-Artificial neural network (ANN); Active power filter (APF); Harmonic detecting; Reactive power;
机译:提出了一种用于有源电力滤波器的谐波电流的神经网络自适应检测方法。它基于自适应降噪技术(ANCT)。关于基本电流作为噪声源,可以从负载电流中消除它,然后获得谐波电流。具有两层的人工神经网络(ANN)用于消除谐波。给出了该神经网络的结构和自适应调整算法。这项研究是通过使用MATLAB Simulink Power System Toolbox进行详细的数字动态仿真来进行的。仿真结果表明,该方法可以实时,准确地检测谐波分量,计算量小,自适应能力强。有源功率滤波器(APF);谐波检测;无功功率;

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