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Compensation of Current Transformers' Non-Linearities by Means of Frequency Coupling Matrices

Authors: Adam J. Collin; Antonio Delle Femine; Daniele Gallo; Roberto Langella; Mario Luiso;

Compensation of Current Transformers' Non-Linearities by Means of Frequency Coupling Matrices

Abstract

Current transformers (CTs) are the most commonly installed current transducers in power systems, at all voltage levels. Therefore, the measurement of harmonics, and power quality in general, which is an essential task in the new context of Smart Grids, are strongly influenced by the performance of CTs. It is well known that CTs can exhibit a non-linear response and, therefore, in order to accurately measure harmonics with CTs, suitable non-linear mathematical models have to be used. In this paper the complex ratio of the CT is modelled using a frequency domain model based on frequency coupling matrices. An accurate measurement setup has been built to characterize the CTs performance in distorted conditions. Some preliminary results of the proposed compensation technique are presented and discussed for a commercial CT of accuracy Class 0.5.

The work reported here has received support from the EMPIR programme co-financed by the Participating States and from the European Union's

Country
Italy
Keywords

Current Transformer; Frequency Coupling Matrix; Harmonics; Phase-Dependent Characteristics; Power Quality; Power System Measurement; Energy Engineering and Power Technology; Electrical and Electronic Engineering; Instrumentation, Current Transformer, Power System Measurement, Frequency Coupling Matrix, Harmonics, Phase-Dependent Characteristics, Power Quality

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selected citations
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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).
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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!
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