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Comparison Between Two Digital Methods for Active Power Measurement

机译:两种数字方法对电力测量的比较

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Active power can be estimated by digitizing the voltage and current waveforms during an integer number of periods and digitally processing the samples obtained. There are two methods that can be used: Discrete Integration and Spectral Analysis. In the first one the average of the sample-by-sample product of the two waveforms is computed. In the second one, sine fitting algorithms are used to estimate the amplitude and initial phase of each waveform. The values obtained are then used to compute the active power. Here we derive analytical expressions for the precision of both estimators as a function of the number of samples acquired and the amount of additive random noise present. These are useful to determine the confidence interval for the measurements made. We also compare the two estimators and conclude that the second one, using sine fitting, is sometimes better.
机译:可以通过在整数周期内的电压和电流波形数字化并在数字处理获得的样本来估计有效功率。有两种方法可以使用:离散集成和光谱分析。在第一个下一个波形的样本乘积的平均值中。在第二个,正弦拟合算法用于估计每个波形的幅度和初始相位。然后使用所获得的值来计算有效功率。在这里,我们可以获得两个估计器的精度的分析表达式,作为所获取的样本数量的函数和存在的添加剂随机噪声的量。这些可用于确定测量的置信区间。我们还比较了两种估算器并得出结论,使用正弦拟合的第二个估算器有时会更好。

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