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Estimation of line parameters using the hybrid state estimator

机译:使用混合状态估计估计线参数

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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:国家估计构成了监督控制和数据采集系统(SCADA)的基石,因为它以连续的时间间隔提供电力系统运行条件。在其他功能中,状态估计负责识别,并且如果可能的是消除可能是衡量测量或网络错误的不良数据,例如错误的网络参数。通过在其测量向量中结合同步的相量测量以及传统测量,可以显着地改善状态估计器的性能。这种状态估计方案称为混合动力车。在本文中,将检查混合状态估计器在网络参数估计方案中的影响。此外,将提出基于归一化残差来识别错误分支的开发方法。

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