基于人工神经网络的电力系统动态稳定指标估计方法

Proceedings of the First International Forum on Applications of Neural Networks to Power Systems Pub Date : 1991-07-23 DOI:10.1109/ANN.1991.213510

H. Mori

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引用次数: 6

摘要

提出了一种基于人工神经网络的电力系统动态稳定性评估方法。利用自适应模式识别技术估计电力系统动态稳定指标，减少了计算量，避免了数值不稳定问题。该方法基于多层前馈感知器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An artificial neural-net based method for estimating power system dynamic stability index

The author presents an artificial neural net based method for evaluating power system dynamic stability. An adaptive pattern recognition technique is utilized to estimate an index for power system dynamic stability so that computational efforts are reduced and numerical instability problems are avoided. The proposed method is based on a multi-layer feedforward perceptron.<>

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

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