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A linear estimator for transmission line parameters based on distributed parameter line model

机译:基于分布参数线模型的输电线路参数线性估计器

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Transmission line parameters are critical inputs to a variety of power system analysis algorithms. To ensure the precision of line parameters, this paper proposes a novel linear method to estimate transmission line parameters, including series resistance, series reactance, and shunt susceptance, for non-compensated and series-compensated lines. Voltage and current phasors obtained by phasor measurement units (PMUs) from both ends are utilized in the algorithm. Linear least squares method is applied when multiple sets of measurements are available for improved accuracy. Distributed parameter line model is employed in developing the algorithm. An optimal estimator is also proposed, which can detect and identify possible measurement errors, although this type of method is no longer linear. The estimated line parameters can be used to determine line temperature and conductor sag. Evaluations studies demonstrate the effectiveness of the proposed methods.
机译:传输线参数是各种电力系统分析算法的关键输入。为了保证线路参数的精度,本文提出了一种新颖的线性方法,用于估计无补偿和串联补偿线路的传输线参数,包括串联电阻,串联电抗和分流电纳。该算法利用了由相量测量单元(PMU)从两端获得的电压和电流相量。当多组测量可用时,将应用线性最小二乘法以提高准确性。在算法开发中采用了分布参数线模型。还提出了一种最佳估计器,该估计器可以检测和识别可能的测量误差,尽管这种方法不再是线性的。估计的线路参数可用于确定线路温度和导体垂度。评估研究证明了所提出方法的有效性。

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