提高SMIB电力系统高响应励磁超导发电机稳定性的新型遗传模糊控制器

2013 13th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2013-11-01 DOI:10.1109/EEEIC-2.2013.6737931

F. Mayouf, F. Djahli, A. Mayouf, T. Devers

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引用次数: 5

摘要

作为前人关于提高高响应励磁超导发电机暂态稳定性研究的延续，本文在励磁回路和调速器回路中引入了模糊逻辑控制器(FLC)。为了获得归一化因子和反归一化因子的最优值，采用了遗传算法(GFEG)。SMIB在不同工况下的非线性仿真结果验证了GFEG稳定器的有效性。

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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New genetic-fuzzy controller for improving stability of superconducting generator with high response excitation in a SMIB power system

As continuity of our previous published works dealing with improving transient stability of the superconducting generator with high response excitation (SGHRE), we have introduced in this paper fuzzy logic controllers (FLC) in the excitation and governor loops. In order to obtain optimal values of normalization and de-normalization factors, a genetic algorithm has been used (GFEG). Non-linear simulation results of SMIB, under different operating conditions, have demonstrated the effectiveness of the proposed stabilizer GFEG.

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2013 13th International Conference on Environment and Electrical Engineering (EEEIC)

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