用神经网络研究网状MTDC系统的电污染

[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems Pub Date : 1993-04-19 DOI:10.1109/ANN.1993.264322

K. Narendra, H.S. Chandrasekharaiah

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引用次数: 0

摘要

本文提出了一种神经网络辨识器来估计动态条件下网状多端子直流系统电压和电流信号中存在的电污染(谐波)含量。开发了一个数字计算机程序来实现神经网络，并讨论了改进的傅立叶级数表示形式，以提高结果的准确性。

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Electric pollution studies in mesh type MTDC system using neural network

The authors propose a neural network identifier to estimate the electric pollution (harmonics) contents present in the voltage and current signals of a mesh type multi terminal direct current (MTDC) system under dynamic conditions. A digital computer program has been developed to implement the neural network and a modified form of Fourier series representation which improves the accuracy of the results is discussed.<>

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[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems

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