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Uncertainty Analysis for a Simplified Characterization of Test Low-Power Voltage Transformers in the 9–150-kHz Frequency Range

Authors: Christian Betti; Roberto Tinarelli; Lorenzo Peretto; Alessandro Mingotti;

Uncertainty Analysis for a Simplified Characterization of Test Low-Power Voltage Transformers in the 9–150-kHz Frequency Range

Abstract

The growing integration of renewable energy sources into national power grids is impacting electricity quality, primarily due to the widespread use of electronic power converters. These converters, which rely on switching components, can introduce high-frequency harmonics, reaching up to 150 kHz, into the grid. However, the current international standards and state-of-the-art literature on instrument transformers (ITs) provide limited guidance on methods, techniques, parameters, and metrological requirements necessary for power quality (PQ) measurements at frequencies above tens of kilohertz. In response, this article presents an example of cost-effective measurement setup used to test four medium-voltage low-power ITs (LPITs) within the frequency range of (9–150) kHz. A detailed uncertainty analysis is conducted using both standard accuracy indices [ratio error (RE) and phase displacement (PD)] and less common indices (composite error). Finally, this article discusses an approach to the uncertainty evaluation for high-frequency components. The results demonstrate the method’s applicability, replicability, and value for end users.

Country
Italy
Keywords

Accuracy; frequency characterization; low-power voltage transformers (LPVTs); medium voltage; power quality (PQ); uncertainty evaluation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green