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SCADA and PMU Measurements for Improving Power System State Estimation

机译:SCADA和PMU测量可改善电力系统状态估计

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摘要

State estimation is the primary tools for Energy Management Systems (EMS). Traditional state estimation data are measured SCADA systems which are rather low precision and do not include voltage angles measurements. This paper reports on the implementation of a state estimation algorithm able to incorporate both SCADA and PMU measurements. The implemented algorithm was validated using two well-known IEEE test systems (IEEE-14 and IEEE-118 buses). Analysis of the results obtained from the different case studies performed, may highlight some advantages of incorporating PMU's measurements in the power system state estimation.
机译:状态估计是能源管理系统(EMS)的主要工具。传统状态估计数据是测量的SCADA系统,其精度较低,并且不包括电压角测量。本文报告了一种状态估计算法的实现方法,该算法能够结合SCADA和PMU测量。使用两个众所周知的IEEE测试系统(IEEE-14和IEEE-118总线)对实现的算法进行了验证。对从不同案例研究中获得的结果进行的分析可能会突出显示将PMU的测量结果纳入电力系统状态估计中的一些优势。

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