基于自由模型的电力系统稳定

K.Y. Lee, H. Ko, Ho-Chan Kim, Jin-Ho Lee, Young-Moon Park
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引用次数: 2

摘要

引入自由模型概念作为一种替代的智能系统技术来设计只有输入和输出数据的控制器。自由模型的思想来自泰勒级数近似,当位置、速度和加速度等数据已知时,可以估计输出。利用输入输出数据可以估计自由模型中的参数,并根据自由模型设计控制器。由此建立的自由模型具有可控性、可观察性和鲁棒性。通过增加观测窗口和自由模型的阶数,可以提高自由模型近似的精度。将LQR方法应用于自由模型,对两个被测电力系统进行稳定器设计,并与常规稳定器进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A free-model based power system stabilization
The free-model concept is introduced as an alternative intelligent system technique to design a controller with input and output data only. The idea of free model comes from the Taylor series approximation, where an output can be estimated when such data as position, velocity, and acceleration are known. The parameters in the free model can be estimated using the input-output data and a controller can be designed based on the free model. The free model thus developed is shown to be controllable, observable, and robust. The accuracy of the free-model approximation can be improved by increasing the observation window and the order of the free model. The LQR method is applied to the free model to design power system stabilizers (PSS) for the two tested power systems, and compared with the conventional PSS.
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