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A new method of power system state estimation based on wide-area measurement system

机译:基于广域测量系统的电力系统状态估计的新方法

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According to the different forms of Jacobian matrix, three new methods of power system state estimation based on wide-area measurement system (WAMS) are proposed in the paper, in which the state variable measurements of phasor measurement unit (PMU) are transformed into branch current measurements correspondingly. Besides, the measurement noise is produced by adding random error to the true values of the measurement, which makes the standard deviation of each measured value disparate. That is, the weight of each measurement is different, so the estimated precision is improved highly. At the end of the paper, two examples are presented to test the new methods.
机译:针对雅可比矩阵的不同形式,提出了三种基于广域测量系统(WAMS)的电力系统状态估计新方法,将相量测量单元(PMU)的状态变量测量转化为分支。当前的测量值。此外,通过将随机误差加到测量的真实值上会产生测量噪声,这会使每个测量值的标准偏差完全不同。即,每次测量的权重不同,因此大大提高了估计精度。在本文的结尾,给出了两个例子来测试新方法。

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