基于遗传算法和ANFIS的电力系统稳定器

P. R. Gandhi, S. K. Joshi
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引用次数: 9

摘要

本文讨论了基于遗传算法的比例积分导数型电力系统稳定器和基于自适应神经模糊推理系统的电力系统稳定器的设计,用于单机无限母线系统的稳定性分析。利用该控制器对同步发电机励磁系统产生适当的补充控制信号。所产生的信号被用来抑制低频振荡,提高电力系统的动力学性能。对系统进行了非线性仿真,验证了两种方案在各种干扰和故障条件下设计PSS的有效性和能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GA and ANFIS based power system stabilizer
This paper discusses the design of genetics algorithm based proportional integral derivative-power system stabilizer and Adaptive Neuro Fuzzy Inference System based power system stabilizer for the stability analysis of the single machine infinite bus system. The controller has been used to generate the appropriate supplementary control signal for the excitation system of synchronous generator. The signal generated has been used to damp the low frequency oscillations and improves the performance of power system dynamics. The non- linear simulations of the system has been carried out, which results show the efficacy and capability of two schemes for the design of PSS under the various disturbances and faults conditions.
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