基于Lyapunov方法的电力系统神经稳定控制

Proceedings of the 41st SICE Annual Conference. SICE 2002. Pub Date : 2002-08-05 DOI:10.1109/SICE.2002.1195616

N. Hirata, A. Ishigame, H. Nishigaito

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引用次数: 8

摘要

本文提出了一种电力系统的非线性稳定方法。作为其中的一种方法，我们考虑了基于Lyapunov方法的神经稳定控制。在该方法中，我们改进了粒子群优化算法，以降低解群陷入局部最优的概率。我们还重建了Lyapunov函数，使其易于满足Lyapunov稳定性条件。

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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Neuro stabilizing control based on Lyapunov method for power system

This paper develops a nonlinear stabilizing method for power systems. As one such method, we consider neuro stabilizing control based on the Lyapunov method. In this method, we improve particle swarm optimization to reduce the probability of the population of solutions entrapped into local optima. We also reconstruct the Lyapunov function to satisfy Lyapunov stability conditions easily.

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Proceedings of the 41st SICE Annual Conference. SICE 2002.

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