A Statistical Investigation of PMU Errors in Current Measurements
- Resource Type
- Conference
- Authors
- Castello, Paolo; Gallus, Giacomo; Muscas, Carlo; Pegoraro, Paolo Attilio; Sitzia, Davide; Sulis, Sara
- Source
- 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Instrumentation and Measurement Technology Conference (I2MTC), 2023 IEEE International. :1-6 May, 2023
- Subject
- Bioengineering
Engineering Profession
General Topics for Engineers
Signal Processing and Analysis
Phase measurement
Uncertainty
Atmospheric measurements
Current measurement
Measurement uncertainty
Power system dynamics
Particle measurements
Phasor Measurement Unit (PMU)
measurement uncertainty
current measurement
Gaussianity test
- Language
- ISSN
- 2642-2077
Phasor Measurement Units (PMUs) are becoming widespread in power systems monitoring. Applications relying on synchrophasor measurements ask for models of measurement er-rors that can be integrated to describe the uncertainty of the data. In this paper, an assessment of PMU magnitude and phase-angle errors for current measurements is performed for the first time with the aim to address error distributions. In particular, two commercial PMUs are statistically characterized in a controlled environment to prevent non-stationarity issues. It is proven that Gaussianity appears a valid assumption for magnitude errors of both PMUs, whereas phase-angle errors might be non-Gaussian in an accurate PMU when the contribution of synchronization mechanisms prevails.