Utilization of abundant measurements provided by supervisory control and data acquisition (SCADA) system has attracted increasing attention. Real-time estimation of transmission line parameters, utilizing voltage and power flow measurements provided by remote terminal units (RTUs) located at two substations across the line, has been investigated, recently. This paper improves this approach by introducing a novel exact linear reformulation of the problem, which can be solved in closed form. The distributed-parameter model of long transmission lines is considered and its parameters are estimated in a non-iterative manner using RTU measurements. The method is also extended to estimate transformer series impedance and tap position by SCADA measurements, linearly. As such, the disadvantages associated with the previous iterative approach, e.g. concern over convergence, for transmission line parameters are avoided. Moreover, the novel technique for estimating transformer parameters allows to determine the tap position as well as updated transformer series impedance. Furthermore, a thorough analysis is presented to take the measurement accuracy into account. Simulation results for different transmission lines and transformers in the IEEE 118-bus test system are reported, where the result indicate successful performance of the proposed algorithms.

中文翻译：

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基于SCADA数据的输电线路和变压器参数在线非迭代估计

利用监督控制和数据采集（SCADA）系统提供的大量测量值已引起越来越多的关注。最近，已经研究了利用由位于线路两端变电站的远程终端单元（RTU）提供的电压和功率流测量来实时估计传输线参数的方法。本文通过引入一种新颖的精确线性重构问题的方法来改进这种方法，该问题可以以封闭形式解决。考虑长传输线的分布参数模型，并使用RTU测量以非迭代的方式估算其参数。该方法还扩展为通过SCADA测量来线性估算变压器串联阻抗和抽头位置。这样，与先前的迭代方法相关的缺点，例如 避免了收敛问题，因为避免了传输线参数。而且，用于估计变压器参数的新颖技术允许确定抽头位置以及更新的变压器串联阻抗。此外，提出了一个全面的分析以考虑测量精度。报告了IEEE 118总线测试系统中不同传输线和变压器的仿真结果，这些结果表明所提出算法的成功性能。