基于神经网络的开关电源畸变校正

Proceedings of the First International Forum on Applications of Neural Networks to Power Systems Pub Date : 1991-07-23 DOI:10.1109/ANN.1991.213478

B. Jayaraman, K. Ashenayi, M. O. Durham, R. Strattan

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引用次数: 1

摘要

提出了利用神经网络对电力系统畸变进行校正的方法。利用误差反向传播训练多层神经网络来校正畸变电流波。基于所得结果，人工神经网络似乎为电力系统谐波畸变校正这一重要问题提供了一个很好的解决方案

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

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.<>

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Proceedings of the First International Forum on Applications of Neural Networks to Power Systems

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