电力系统多模振荡阻尼的神经网络控制

Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239) Pub Date : 2001-08-19 DOI:10.1109/TENCON.2001.949675

C. Lim

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引用次数: 4

摘要

为了提高多机电力系统的阻尼特性，提出了一种结合相干识别技术的神经网络控制方案。仿真结果表明，所提出的控制方案适用于抑制10机电力系统的多模态振荡，并优于传统控制方案。

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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Neural network control for damping of multi-mode oscillations in a power system

A neural network-based control scheme, in conjunction with a coherency recognition technique, is proposed for enhancing the damping characteristics of multi-machine power systems. From the simulation results obtained, it is shown that the proposed control scheme is suitable for damping multi-mode oscillations in a 10-machine power system and performs better than a conventional control scheme.

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来源期刊

Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239)

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