New results of measurements of phasor-like signals are presented based on our previous work on the topic. In this document an improved estimation method is described. The algorithm (which is realized in MATLAB software) is discussed. We examine the effect of noisy and distorted signals on the Goodness of Fit metric. The estimation method is shown to be performing very well with clean data and with a measurement window as short as a half a cycle and as few as 5 samples per cycle. The Goodness of Fit decreases predictably with added phase noise, and seems to be acceptable even with visible distortion in the signal. While the exact results we obtain are specific to our method of estimation, the Goodness of Fit method could be implemented in any phasor measurement unit.
Revised: May 1, 2019 |
Published: September 1, 2017
Citation
Riepnieks A., and H. Kirkham. 2017.An Introduction to Goodness of Fit for PMU Parameter Estimation.IEEE Transactions on Power Delivery 32, no. 5:2238-2245.PNNL-SA-113867.doi:10.1109/TPWRD.2016.2616761