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Estimation of line parameters using the hybrid state estimator

机译:使用混合状态估计器估计线参数

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State estimation constitutes the cornerstone of the Supervisory Control and Data Acquisition System (SCADA), since it provides the power system operating condition in successive time intervals. Among other functionalities, state estimation is responsible for identifying, and if possible eliminating, bad data which may be either bad measurements or network errors, such as erroneous network parameters. The performance of the state estimator can be improved considerably by incorporating synchronized phasor measurements in its measurement vector, along with the conventional measurements. Such a state estimation scheme is called hybrid. In this paper the impact of the hybrid state estimator in a network parameter estimation scheme will be examined. Further, a developed methodology for identifying erroneous branches based on the normalized residuals will be presented.
机译:状态估计构成了监督控制和数据采集系统(SCADA)的基石,因为它提供了连续时间间隔内的电力系统运行条件。在其他功能中,状态估计负责识别并(如果可能的话)消除可能是不良测量或网络错误(例如错误的网络参数)的不良数据。通过将同步相量测量值与常规测量值相结合,可以将状态估计器的性能大大提高。这种状态估计方案称为混合。在本文中,将研究混合状态估计器在网络参数估计方案中的影响。此外,将提出一种基于归一化残差识别错误分支的开发方法。

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