Abstract This paper proposes a new method to estimate parameters of a synchronous generator using measurements taken under unbalanced operating conditions. The new method is based on a combination of the application of the Unscented Kalman Filter (UKF) and Trajectory Sensitivity techniques. The method adopts a three-phase model for the synchronous generator that is typically available in EMT-based commercial software and evaluates the sensitivity of the response to changes in the model parameters, in order to determine if it is possible to estimate a certain parameter based on a particular measured output. This enables the user to choose the best output to estimate the parameter of interest, which is important when the only available measurements are responses to small disturbances. After that, a UKF technique is applied to the three-phase model in 0dq coordinates and, differently from other approaches in the literature, the zero-sequence circuit is taken into account to enable the estimation under unbalanced operating conditions, which is the main contribution of the paper. The results showcase the efficiency of the proposed method even in the case where the available measurements are taken from highly unbalanced conditions.

中文翻译：

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不平衡工况下同步发电机模型的参数估计

摘要 本文提出了一种利用在不平衡运行条件下进行的测量来估计同步发电机参数的新方法。新方法基于无迹卡尔曼滤波器 (UKF) 和轨迹灵敏度技术的应用组合。该方法采用同步发电机的三相模型，该模型通常在基于 EMT 的商业软件中可用，并评估响应模型参数变化的敏感性，以确定是否可以估计某个参数。在特定的测量输出上。这使用户能够选择最佳输出来估计感兴趣的参数，当唯一可用的测量是对小干扰的响应时，这很重要。之后，将 UKF 技术应用于 0dq 坐标中的三相模型，与文献中的其他方法不同，考虑零序电路以实现不平衡工作条件下的估计，这是本文的主要贡献. 结果显示了所提出方法的效率，即使在可用测量值是从高度不平衡的条件下进行的情况下也是如此。