同步相量测量中随机误差的统计特性
Statistical Characterization of Random Errors Present in Synchrophasor Measurements
摘要：
相量测量单元（PMU）测量误差的统计特征目前引起了电力系统界的极大兴趣。本文重点介绍了在环境条件下，使用高精度的校准器，仅由PMU设备引入的幅度和角度测量的误差（在本文中称为随机误差）的特性。实验结果表明，随机误差服从非高斯分布。它们还表明，M级和P级PMU具有不同的误差特性。该分析的结果将帮助研究人员设计算法，该算法考虑了同步相量测量中误差的非高斯性质，从而提高了所述算法的实际效用，此外还建立了使用高精度校准器进行精确误差测试的优先级。
英文摘要：
The statistical characterization of the measurement errors of a phasor measurement unit (PMU) is currently receiving considerable interest in the power systems community. This paper focuses on the characteristics of the errors in magnitude and angle measurements introduced only by the PMU device (called random errors in this paper), during ambient conditions, using a high-precision calibrator. The experimental results indicate that the random errors follow a non-Gaussian distribution. They also show that the M-class and P-class PMUs have distinct error characteristics. The results of this analysis will help researchers design algorithms that account for the non-Gaussian nature of the errors in synchrophasor measurements, thereby improving the practical utility of the said-algorithms in addition to building on precedence for using high-precision calibrators to perform accurate error tests.
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