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A procedure to identify an accurate linear model of a synchronous machine

机译:识别同步电机的精确线性模型的过程

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Results of a nonlinear simulation is used in this paper to identify a linear model of a black-boxed synchronous machine. Linear system identification methods such as Prony Analysis, are employed to identify linear models of power system devices when their complete mathematical models are not available to be included in small signal stability studies. While the user lacks the knowledge of the control structure and its parameters, availability of the machine model is practically possible as the models and their parameter estimation methods are well established. Rapidly decaying transients of the machine, such as amortisseur winding transients, usually tend to be missed by available system identification methods. In this work an improved expanding-data-window Prony Analysis method is complemented with an eigenstructure assignment based method to incorporate a-priori knowledge of the generator to determine the highly damped transients of an electromagnetic transient (EMT) simulation model of a synchronous machine with generator controllers.
机译:本文使用非线性仿真的结果来确定黑匣子同步电机的线性模型。当无法将完整的数学模型包含在小信号稳定性研究中时,可采用线性系统识别方法(例如Prony Analysis)来识别电力系统设备的线性模型。尽管用户缺乏控制结构及其参数的知识,但由于模型及其参数估计方法已得到很好的建立,因此机器模型的可用性实际上是可行的。可用的系统识别方法通常会丢失机器的迅速衰减的瞬变,例如消音器绕组的瞬变。在这项工作中,改进的扩展数据窗口Prony分析方法与基于特征结构分配的方法相辅相成,以结合发电机的先验知识,从而确定具有以下特性的同步电机的电磁瞬变(EMT)仿真模型的高阻尼瞬变:发电机控制器。

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