基于Krylov子空间的小信号稳定性分析的临界特征值跟踪

3rd International Conference on Systems and Control Pub Date : 2013-10-01 DOI:10.1109/ICOSC.2013.6750875

Y. Chabane, A. Hellal

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引用次数: 3

摘要

本文研究了一种基于Krylov子空间的自适应隐式重新启动Arnoldi算法在电力系统小信号稳定性特征分析中的应用。我们改进的算法的目的是直接找到与差阻尼比有关的所寻求的临界特征值，而不是计算整个频谱。

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Critical eigenvalues tracing for small signal stability analysis using Krylov subspaces

This paper deals with the application of an adaptive Implicitly Restarted Arnoldi Algorithm based on Krylov subspaces to the small signal stability eigen analysis problem for power systems.. The aim of our modified algorithm is to find directly to the sought critical eigenvalues concerned with poor damping ratios instead of calculating the whole of the spectrum.

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3rd International Conference on Systems and Control

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