用遗传算法设计多机模糊逻辑激励和调速器稳定器

2013 13th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2013-11-01 DOI:10.1109/EEEIC-2.2013.6737932

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

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引用次数: 2

摘要

在本文中，我们将先前发表的SMIB稳定性改进控制模型扩展到多机情况。该模型在励磁和/或汽轮机调节系统(FLCE、FLCG和FLCEG)中实现模糊稳定器。采用遗传算法对模糊控制器进行最优调整。利用Matlab/Simulink对多机系统进行了非线性仿真，结果表明，对于大小扰动，模糊控制器同时用于激励器(FLCE)和调节器(FLCG)是有效的。

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Multi-machine fuzzy logic excitation and governor stabilizers design using genetic algorithms

In this paper, we have extended to the multimachine case our developed control model for SMIB stability improvement previously published. This model implements the fuzzy stabilizer in excitation and/or in turbine Governor systems (FLCE, FLCG and FLCEG). The optimal adjustment of the fuzzy logic controllers using genetic algorithm is carried out. Results obtained by nonlinear simulation using Matlab/Simulink of a multimachine system show the effectiveness of using both fuzzy controllers to exciter (FLCE) and to governor (FLCG) at the same time (FLCEG) for large and small disturbances.

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

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