基于人工神经网络的暂态稳定性评估

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI:10.1109/ICIT.2000.854241

S. Krishna, K. Padiyar

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引用次数: 55

摘要

电力系统暂态稳定在线评估由于计算量大，目前尚不可行。人工神经网络(ANN)由于能够快速映射输入数据和输出数据之间的非线性关系而被提出作为解决这一问题的方法之一。本文对利用人工神经网络进行TSA研究的文献进行了综述。本文还报道了将人工神经网络应用于10机39总线系统TSA问题的结果。

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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Transient stability assessment using artificial neural networks

Online transient stability assessment (TSA) of a power system is not yet feasible due to the intensive computation involved. Artificial neural networks (ANN) have been proposed as one of the approaches to this problem because of their ability to quickly map nonlinear relationships between the input data and the output. In this paper a review of the previously published papers on TSA using ANN is presented. The paper also reports the results of the application of ANN to the problem of TSA of a 10 machine 39 bus system.

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Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)

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