Performance comparison of three identification methods for the analysis of electromechanical oscillations
Performance comparison of three identification methods for the analysis of electromechanical oscillations
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DOI：
10.1109/59.780912
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发表时间：
1999-08
影响因子：
6.6
通讯作者：
J. Sanchez-Gasca;J. Chow
中科院分区：
文献类型：
--
作者：
J. Sanchez-Gasca;J. Chow
本文描述了一项研究的结果，该研究评估了用于低频机电振荡研究的三种识别方法的性能。考虑的三种识别方法是：Steiglitz-McBride算法;特征系统实现算法;和Prony方法。辨识方法被用来识别在标准暂态稳定程序中建模的电力系统的低阶线性系统。这通过处理系统对简单探测脉冲的响应来实现。几个识别系统的频域特性进行了比较，使用三个电力系统的轻阻尼机电模式。
This paper describes the results of a study to evaluate the performance of three identification methods for the study of low frequency electromechanical oscillations. The three identification methods considered are: the Steiglitz-McBride algorithm; the eigensystem realization algorithm; and the Prony method. The identification methods are used to identify low order linear systems of power systems modeled in standard transient stability programs. This is accomplished by processing the system response to a simple probing pulse. The frequency domain characteristics of several identified systems are compared using three power systems with lightly damped electromechanical modes.