The instrument transformers scenario is moving towards the adoption of a new generation of low-power instrument transformers. This disruptive change also requires that the modeling, characterization, and testing of those devices must be improved. Therefore, this study focuses on a smart approach developed by the authors in a previous study to estimate the output of low-power voltage transformers (LPVT). The approach-which is based on a sort of modeling in the frequency domain (the so-called sinc-response)-allows obtaining the behavior of the LPVT at rated and distorted conditions. Experimental tests performed on off-the-shelf devices confirm the applicability and effectiveness of the proposed approach when estimating the output response of LPVTs.

Ghaderi A., Mingotti A., Peretto L., Tinarelli R. (2020). Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach. SENSORS, 20(17), 1-20 [10.3390/s20174889].

Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach

Ghaderi A.;Mingotti A.
;
Peretto L.;Tinarelli R.
2020

Abstract

The instrument transformers scenario is moving towards the adoption of a new generation of low-power instrument transformers. This disruptive change also requires that the modeling, characterization, and testing of those devices must be improved. Therefore, this study focuses on a smart approach developed by the authors in a previous study to estimate the output of low-power voltage transformers (LPVT). The approach-which is based on a sort of modeling in the frequency domain (the so-called sinc-response)-allows obtaining the behavior of the LPVT at rated and distorted conditions. Experimental tests performed on off-the-shelf devices confirm the applicability and effectiveness of the proposed approach when estimating the output response of LPVTs.
2020
Ghaderi A., Mingotti A., Peretto L., Tinarelli R. (2020). Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach. SENSORS, 20(17), 1-20 [10.3390/s20174889].
Ghaderi A.; Mingotti A.; Peretto L.; Tinarelli R.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/771507
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