Characterization of uncertainty contributions in a high-accuracy PMU validation system

•PMU characterization needs a reference with TVE of 0.00x% in steady-state conditions.•Metrological analysis of the hardware uncertainty contributions.•Uncertainty propagation due to internal time-source inaccuracy.•Deterministic routine for the evaluation of PMU reporting latency. The effective dep...

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Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation 2019-11, Vol.146, p.72-86
Main Authors: Frigo, G., Derviškadić, A., Colangelo, D., Braun, J.P., Paolone, M.
Format: Article
Language:English
Subjects:
Accuracy
Architecture
Computer architecture
Distribution management
Domain names
Dynamic tests
IEEE C37.118.1
Measurement
Measuring instruments
Metrological characterization
Phasor Measurement Unit (PMU)
Software
Steady state
Synchronism
Synchrophasor
Uncertainty
Validation
Waveforms
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Summary:•PMU characterization needs a reference with TVE of 0.00x% in steady-state conditions.•Metrological analysis of the hardware uncertainty contributions.•Uncertainty propagation due to internal time-source inaccuracy.•Deterministic routine for the evaluation of PMU reporting latency. The effective deployment of Phasor Measurement Units (PMUs) in Distribution Networks (DNs) requires an enhancement in terms of estimation accuracy beyond the limits of IEEE Std C37.118.1 (IEEE Std), aiming at a Total Vector Error (TVE) in the order of 0.0x% in steady-state test conditions. As a consequence, a rigorous metrological characterization of PMU performance requires a validation system whose accuracy is at least one order of magnitude better than the one of the device under test, i.e. it requires a TVE in the order of 0.00x% in steady-state test conditions and 0.0x% in distorted or dynamic test conditions. In this paper, we consider the hardware and software architecture of a previously published PMU validation system specifically designed for PMUs operating in DNs. In this context, we evaluate the quality of the generated test waveforms, and we carry out a thorough metrological characterization of the uncertainty contributions due to generation, acquisition and synchronization stages. In this sense, the proposed analysis provides a rigorous methodology for the evaluation of such low uncertainty levels, and enables us to identify and discuss the most challenging aspects in the implementation of a high-accuracy PMU validation system.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2019.06.013