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An artificial neural-net based method for predicting power system voltage harmonics

机译:基于人工神经网络的电力系统电压谐波预测方法

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摘要

A novel method for predicting power system voltage harmonics with an artificial neural network is presented. The method is based on the backpropagation learning technique for feedforward neural networks. The promise of the proposed method in harmonics prediction is shown. In order to demonstrate its effectiveness, the proposed method is applied to voltage harmonics observed through a personal computer based measurement system and the performance is compared with that of conventional methods.
机译:提出了一种利用人工神经网络预测电力系统电压谐波的新方法。该方法基于用于前馈神经网络的反向传播学习技术。显示了该方法在谐波预测中的前景。为了证明其有效性,将所提出的方法应用于通过基于个人计算机的测量系统观察到的电压谐波,并将其性能与常规方法进行比较。

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