Identification of high-order synchronous generator models from SSFR test data
Identification of high-order synchronous generator models from SSFR test data
复制标题
从SSFR试验数据识别高阶同步发电机模型
DOI：
10.1109/60.326480
复制
发表时间：
1994
期刊：
影响因子：
--
通讯作者：
H. Tsai
中科院分区：
文献类型：
--
作者：
A. Keyhani;H. Tsai
本文提出了一种基于静止频率响应（SSFR）试验数据的同步电机模型辨识的直接极大似然估计方法。在这项研究中提出的方法是第一个也是唯一的算法，利用所有可用的SSFR测试数据在短路和开路条件下建立一个独特的等效电路模型，通过最大化的条件概率密度函数的误差残差。该方法适用于两个著名的发电机，即Rockport和南蒂科克发电机，使用测得的SSFR测试数据的建模。研究结果表明，通过在建模过程中同时考虑开路和短路SSFR数据，所建立的高阶同步模型可以准确地描述两台发电机的SSFR特性，最高可达1 kHz。所确定的同步电机模型由每个轴上的五个阻尼器绕组组成。此外，在d轴模型中加入了涡流效应阻抗，以反映开路试验条件下转子涡流的影响。>
This paper presents a direct maximum-likelihood estimation procedure to identify the synchronous machine models based on the standstill frequency response (SSFR) test data. The method presented in this study is the first and only algorithm utilizing all available SSFR test data under both shorted and open field circuit conditions to establish a unique equivalent circuit model by maximizing the conditional probability density function of the error residuals. The method is applied to the modeling of two well-known generators, namely the Rockport and Nanticoke generators, using the measured SSFR test data. The results of the study show that by incorporating both the open and short-circuit SSFR data in the modeling process, the SSFR characteristics of the two generators can be accurately represented by the established high order synchronous models up to 1 kHz. The identified synchronous machine model consists of five amortisseur windings on each axis. In addition, an eddy-current effect impedance is included in the d-axis model for representing the increased influence of rotor eddy current under the open-circuit test condition. >