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Neural net based correction of power system distortion caused by switching power supplies

机译:基于神经网络的开关电源引起的电力系统失真校正

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The correction of these power system distortions using neural networks is presented. A multi-layer neural network is trained (using error back propagation) to correct the distorted current waves. Based on the results obtained artificial neural network seems to offer a good solution for the important problem of correcting power system harmonic distortion.
机译:提出了使用神经网络的这些电力系统失真的校正。训练多层神经网络(使用错误反向传播)以纠正扭曲的电流波。基于结果,人工神经网络似乎为校正电力系统谐波失真的重要问题提供了良好的解决方案。

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