# Statistical Characterization of Random Errors Present in Synchrophasor Measurements

arXiv: https://arxiv.org/abs/2103.09285 · HTML: https://mlsanity.com/paper/2103.09285/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Mar 2021.

## Built on by (most cited first, 1 of 1)

- [Time-Synchronized Full System State Estimation Considering Practical Implementation Challenges](https://mlsanity.com/paper/2212.01729/) (2022)

## Abstract (arXiv)

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.