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首页> 外文会议>2010 the 5th IEEE Conference on Industrial Electronics and Applications >Neural network based shunt active filter for harmonic and reactive power compensation under non-ideal mains voltage
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Neural network based shunt active filter for harmonic and reactive power compensation under non-ideal mains voltage

机译：基于神经网络的并联有源滤波器，用于在非理想电源电压下补偿谐波和无功功率

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摘要

This paper presents a new method for harmonic and reactive power compensation with power factor improvement using an artificial neural network (ANN) and a new control algorithm for active power filter (APF) for power quality conditioning for variable load under non-ideal mains voltage conditions. The neural network controller comprises two similar adaptive linear neurons (ADALINE), and it has been designed to extract fundamental frequency components from non-sinusoidal and unbalanced currents instead of conventional low pass filter. Reactive power compensation is done without sensing load currents, which gives simplicity in control with less number of current sensors. The performance of the APF with the proposed neural network compensation algorithm is found to be considerably effective and adequate to compensate harmonics and reactive power. The results show excellent behaviors and performances.
机译：本文提出了一种使用人工神经网络（ANN）改进功率因数的谐波和无功功率补偿的新方法，以及一种用于非理想市电电压条件下可变负载电能质量调节的有源功率滤波器（APF）控制新算法。神经网络控制器包括两个相似的自适应线性神经元（ADALINE），它已被设计为从非正弦和不平衡电流中提取基频分量，而不是传统的低通滤波器。完成无功功率补偿时不会检测到负载电流，这可以通过减少电流传感器的数量来简化控制。发现采用提出的神经网络补偿算法的APF的性能相当有效，足以补偿谐波和无功功率。结果显示了优异的行为和性能。

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