基于遗传算法和神经网络的电力系统结构控制

[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems Pub Date : 1993-04-19 DOI:10.1109/ANN.1993.264295

A. Ishigame, Y. Takagi, S. Kawamoto, T. Taniguchi, H. Tanaka

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引用次数: 3

摘要

本文提出了一种提高电网稳定性的结构控制方法。该方法基于FACTS概念、遗传算法和神经网络。FACTS设备将在电网结构控制方面为通过控制输电线路的电抗来提高电网稳定性提供一些新的途径。并以多机电力系统为例进行了分析和讨论。

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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Structural control based on genetic algorithm and neural network for electric power systems

This paper presents a method of structural control of electric power networks for improving their stability. The method is based on the FACTS concept, a genetic algorithm and neural network. FACTS equipment will provide some new ways for improving stability by controlling the reactance of transmission lines in terms of structure control of the power network. A case study with a multimachine power system is presented and discussed.<>

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[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems

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