Abstract
Phasor Measurement Unit (PMU) performances are the basis for successful implementation of PMUs in power system security monitoring and control, and they are greatly affected by systematic errors caused by phasor estimation algorithm. In this paper, the Normal-Fitting Index (NFI) is proposed to identify PMU systematic errors in probability and statistics way. It reflects influences of systematic errors on PMU measurements. Besides, Weighted Least Square (WLS) curve-fitting method is applied here to identify systematic errors due to Discrete Fourier Transform (DFT) via analyzing the features of phasor estimations under dynamic conditions. Several PMUs are tested in laboratory and the results are used for analysis by the two methods above, which reveal that problems exist in PMU dynamic performances.
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