Uncertainty sources analysis of a calibration system for the accuracy vs. temperature verification of voltage transformers

Tinarelli

2020

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With the spread of new Low-Power Instrument Transformers (LPITs), it is fundamental to provide models and characterization procedures to estimate and even predict the LPITs’ behavior. In fact, distribution system operators and designers of network models are looking for all forms of information which may help the management and the control of power networks. For this purpose, the paper wants to contribute to the scientific community presenting a smart characterization procedure which easily provides sufficient information to predict the output signal of a Low-Power Current Transformer (LPCT), the Rogowski coil. The presented procedure is based on a synthetized signal applied to the Rogowski coil. Afterwards, the validity of the procedure is assessed within the Matlab environment and then by applying it on three off-the-shelf Rogowski coils. Simulations and experimental tests and results involving a variety of distorted signals in the power quality frequency range and by adopting a quite simple measurement setup demonstrated the effectiveness and the capability of the procedure to correctly estimate the output of the tested device.

Section: Introductionmentioning

confidence: 99%

Smart Characterization of Rogowski Coils by Using a Synthetized Signal

Tinarelli

2020

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“…In [ 23 , 24 ], for example, the effect of moisture on ITs was studied. The behavior of ITs when subjected to an electric field was addressed in [ 25 , 26 , 27 ], while temperature as an influential factor was analyzed in [ 28 , 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

On the Long-Period Accuracy Behavior of Inductive and Low-Power Instrument Transformers

Bartolomei

et al. 2020

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The accuracy evaluation of instrument transformers is always a key task when proper control and management of the power network is required. In particular, accuracy becomes a critical aspect when the grid or the instrumentation itself is operating at conditions different from the rated ones. However, before focusing on the above non-rated conditions, it is important to fully understand the instrument transformer behavior at rated conditions. To this end, this work analyzed the accuracy behavior of legacy, inductive, and low-power voltage transformers over long periods of time. The aim was to find patterns and correlations that may be of help during the modelling or the output prediction of voltage transformers. From the results, the main differences between low-power and inductive voltage transformers were pointed out and described in detail.

“…[ 3 , 4 , 5 ] represent the efforts on the installation, traceability and challenges of integration in LPVTs. The uncertainty analysis of the ITs and their calibration test bed as a key factor for measurement, is performed in [ 6 , 7 , 8 , 9 , 10 ], while the nonlinearity compensation is assessed in [ 11 ] for voltage and current ITs. The application of ITs in the power network considering different network features is analyzed in research works such as [ 12 , 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

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

Ghaderi

et al. 2020

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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.