Full text
Academic Editor: Yi Xi Received: 10 July 2025 Revised: 1 August 2025 Accepted: 13 August 2025 Published: 2 September 2025 Citation: Rom, M.; van den Brom, H.E.; Houtzager, E.; van Leeuwen, R.; van der Born, D.; Rietveld, G.; Muñoz, F. Measurement System for Current Transformer Calibration from 50 Hz to 150 kHz Using a Wideband Power Analyzer. Sensors 2025,25, 5429. https://doi.org/10.3390/s25175429 Copyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/ licenses/by/4.0/). Article Measurement System for Current Transformer Calibration from 50 Hz to 150 kHz Using a Wideband Power Analyzer Mano Rom 1,2 , Helko E. van den Brom 1,* , Ernest Houtzager 1, Ronald van Leeuwen 1, Dennis van der Born 2, Gert Rietveld 1,3 and Fabio Muñoz 2 1VSL B.V. (VSL), 2629 JA Delft, The Netherlands 2Electrical Sustainable Energy Department, Delft University of Technology (TU Delft), 2628 CD Delft, The Netherlands 3Department of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, 7522 NB Enschede, The Netherlands *Correspondence: hvdbr[email protected] Abstract Accurate and reliable characterization of current transformer (CT) performance is essential for maintaining grid stability and power quality in modern electrical networks. CT measurements are key to effective monitoring of harmonic distortions, supporting regulatory compliance and ensuring the safe operation of the grid. This paper addresses a method for the characterization of CTs across an extended frequency range from 50 Hz up to 150 kHz , driven by increasing power quality issues introduced by renewable energy installations and non-linear loads. Traditional CT calibration approaches involve measurement setups that offer ppm-level uncertainty but are complex to operate and limited in practical frequency range. To simplify and expand calibration capabilities, a calibration system employing a sampling ammeter (power analyzer) was developed, enabling the direct measurement of CT secondary currents of an unknown CT and a reference CT without any further auxiliary equipment. The resulting expanded magnitude ratio uncertainties for the wideband CT calibration system are 10 ppm ( k= 2) up to 10 kHz and less than 120 ppm from 10 kHz to 150 kHz ; these uncertainties do not include the uncertainty of the reference CT. Additionally, the operational conditions and setup design choices, such as instrument warm-up duration, grounding methods, measurement shunt selection, and cable type, were evaluated for their impact on measurement uncertainty and repeatability. The results highlight the significance of minimizing parasitic impedances at higher frequencies and maintaining consistent testing conditions. The developed calibration setup provides a robust foundation for future standardization efforts and practical guidance to characterize CT performance in the increasingly important supraharmonic frequency range. Keywords: current transformers; current ratio; wideband; wide dynamic range; calibration ; precision power analyzers; sampling current ratio bridge; phase error; ratio error; uncertainty 1. Introduction High-frequency distortion in electricity grids is gaining scientific and technical interest due to its growing occurrence and impact. These disturbances are mainly injected by new devices for decentralized renewable generation. Power converters connected to the grid increase switching frequencies, introducing harmonic components into the grid [ 1 , 2 ]. These harmonics, produced by non-linear loads and switching devices, degrade power quality Sensors 2025,25, 5429 https://doi.org/10.3390/s25175429
Sensors 2025,25, 5429 2 of 23 (PQ). Recent studies report reductions in the power factor (up to 60%) and increases in line losses exceeding 2% [ 3 , 4 ]. Although international standards such as IEC 61000-3-2 [ 5 ] and IEEE Std 519 [ 6 ] provide harmonic emission limits, enforcement remains inconsistent, emphasizing the need for enhanced PQ monitoring. Measurements in medium-voltage (MV, up to 36 kV ) distribution networks typically rely on instrument transformers (ITs), such as current transformers (CTs), to scale down currents (up to 2 kA ) for accurate evaluation by PQ analyzers and power analyzers. Standardization for PQ analyzers is well-established up to 150kHz and 20A at 230V [7,8]. Extensive research has refined the measurement methods aligned with these standards [ 9 , 10 ]. In contrast, the performance of instrument transformers at higher frequencies, especially in the supraharmonic range (that is, in the range of 2–150 kHz), remains less well defined [ 11 ]. Current standards like IEC 61869-2 [ 12 ] and recent research [ 13 , 14 ] address performance up to lower-order harmonics but do not cover frequencies beyond 10 kHz , where particular distortions occur as well [15,16]. Supraharmonic distortions pose risks to medium-voltage distribution grids [ 17 ]. High dV/dt voltage spikes exceeding 100 kV/µs can lower partial-discharge inception voltages, potentially shortening insulation lifetimes by as much as an order of magnitude [ 17 – 19 ]. Moreover, supraharmonics increase eddy-current and proximity losses in transformers, which can raise hotspot temperatures by up to 10–15 ◦ C [ 20 ]. These distortions can trigger unintended activation of protective devices, posing a risk to grid stability, and generate audible noise exceeding 50 dB(A) in low-voltage switchgears [ 19 ]. Additionally, supraharmonic distortion can propagate from medium-voltage networks into low-voltage circuits through transformers, causing LED lighting flicker, interference with power-line communication, and damage to domestic appliances and sensitive equipment [17,21]. To address the risks associated with increasing harmonic emissions in medium-voltage grids, it is essential to regulate the generation of these emissions and ensure that supraharmonic voltages and currents can be accurately measured. Consequently, wideband accuracy classes (WB0–WB4) for CTs have been proposed in IEC 61869-2 [ 12 ] for frequencies up to 500 kHz , but the metrological infrastructure needed to verify such performance is still incomplete. In response, National Metrology Institutes (NMIs) have extended CT calibration services into the wideband region. Several leading laboratories now offer CT characterizations up to 10 kHz . For example, the comparator system described in [ 22 ] achieved expanded uncertainties ( k= 2) of a few hundred parts per million (ppm) for magnitude ratio error and a few microradians for phase measurements up to 9 kHz . Similarly, the reference setup developed in [ 23 ] demonstrated uncertainties of ± 20 ppm and ±20 µrad at the fundamental frequency, rising to ±400 ppm and ±800 µrad at 9kHz. Despite the recent progress, several important limitations remain. Most current measurement systems have only been validated up to 10 kHz , leaving the frequency range between 10 kHz and 150 kHz largely uncharacterized and unexplored [ 23 ]. In addition, the existing wideband calibration techniques often depend on auxiliary equipment, such as wideband shunts, current transducers, and buffer amplifiers [ 24 – 26 ], which complicates the calibration process, especially at higher frequencies; see also Section 2.2.2. The sampling ammeter approach introduced in [ 27 ] offers a promising simplification by reducing the number of required components and streamlining the procedure. However, this system was only evaluated up to 10 kHz and did not provide a complete analysis of the measurement chain or assess the impact of practical setup variations. As a result, a comprehensive uncertainty budget for the method was not established. These limitations highlight the ongoing need for research and development in wideband CT calibration, particularly in the supraharmonic frequency band.
Sensors 2025,25, 5429 3 of 23 This paper addresses these shortcomings by introducing a broadband calibration setup capable of characterizing CT ratio and phase errors from 50 Hz to 150 kHz . Building on the sampling ammeter concept of [ 27 ], the present work uses the same measurement system and demonstrates its simplification compared to traditional wideband calibration methods that rely on more auxiliary equipment. This paper also analyzes how practical design choices—including CT proximity, conductor placement, secondary-side cabling, grounding schemes, shunt selection, and compensation electronics—influence overall measurement accuracy. In doing so, this work aims to help establish a metrological foundation for the future implementation of the IEC WB3 class [ 12 ] and supports the measurement of supraharmonic power quality phenomena. The remainder of this paper is organized as follows. Section 2provides the theoretical background relevant to CT ratio and phase error characterization, including the complex ratio error formulation, the ratio-based calibration approach, and an overview of the existing techniques along with their limitations. Section 3then describes the experimental setup and methodology, outlining the measurement system architecture, instrumentation, and data processing procedures. Section 4presents and analyzes the experimental results, covering the baseline calibration performance and examining the influence of the key operational and setup parameters. This section also discusses the main sources of measurement uncertainty and provides an uncertainty budget. Finally, Section 5discusses the findings in the context of CT calibration practices, offers practical recommendations for wideband measurements, and suggests directions for future research. 2. Background and Theory 2.1. Complex Ratio Error of a Current Transformer Current transformers are used for scaling high primary currents in the MV grid to lower more easily measurable secondary currents. Ideally, a CT provides a reproduction Is of the primary current Ip at its secondary winding with a constant ratio n=Ip/Is . However, in reality, CTs have amplitude and phase errors that can be expressed as a complex ratio error: ϵ(ω) = n Is(ω) Ip(ω)−1. (1) This ratio error can be measured as a function of frequency ω=2πf. 2.2. Calibration Methods for Current Transformers Historically, instrument transformer calibration has been performed at power frequencies of 50 Hz or 60 Hz using bridge or comparator techniques [ 28 – 31 ]. In these configurations, a test CT and a multi-winding reference are energized by a common primary conductor, and their secondaries are connected in opposition; the residual current provides a direct measure of CT error [ 28 ]. By nulling this residual, the system determines both ratio and phase error. Although such approaches can deliver sub-ppm uncertainties, they are complex and typically limited to comparing CTs with equal nominal ratios. The proliferation of harmonics, interharmonics, and supraharmonics in modern grids has driven the need for CT calibration over an extended frequency range [ 25 ]. Multiple wideband calibration strategies have emerged in response. 2.2.1. Shunt-Based Methods As demonstrated for instance by [ 25 ], CT calibration can be achieved using wideband shunts [ 32 – 34 ] to directly measure the primary current that is wound multiple times through the CT core. A composite signal—containing the fundamental and harmonics up to 5 kHz —is injected into the primary windings. Two wideband coaxial shunts measure
Sensors 2025,25, 5429 4 of 23 primary and secondary currents simultaneously, with frequency-domain analysis providing ratio and phase error for each spectral component. However, this approach faces practical constraints at high current and frequency. In [26], the use of coaxial manganin shunts demonstrates DC uncertainty of 10 ppm up to 10 kA but is limited to tens of kHz. In [ 35 ], experimental results are limited to below 100A, with tens of ppm error at 100 kHz. Similarly, Ref. [ 36 ] reports uncertainties of 200 ppm to 500 ppm in amplitude and below 0.05 mrad in phase up to 100 kHz at 100A. As a result, no available shunt technology combines > 1 kA rating, bandwidth to 150 kHz , and ppmlevel accuracy. While research continues, the reference CT and DUT CT combination for high-current wideband calibration remains a practical alternative. 2.2.2. Sampling Current Techniques As described in [ 24 , 37 ], another approach employs current transducers, current buffers, and high-precision sampling voltmeters (see Figure 1for a schematic overview of the setup used in [ 24 ]). Although such setups can achieve uncertainties at the ppm level, they are complex to maintain and operate due to the number of components, and the measurement bandwidth is ultimately limited by the particular components. Figure 1. Schematic of a CT sampling current ratio measurement system. High primary currents are generated using a power amplifier and a step-up transformer. The CT under test (DUT) is measured against a reference CT where both secondary currents are scaled down using step-down transformers (SDTs). Operational amplifiers with precision AC resistors act as current buffers that convert current to voltage, while digital sampling voltmeters record the buffer voltage signals [24]. An alternative simplified measurement system introduced by [ 27 ] uses a highresolution sampling ammeter (power analyzer) to measure secondary currents of both DUT and reference CT. It achieved uncertainties below 35 ppm up to the 50th harmonic (2 kHz ), with demonstrated performance to 10 kHz , all with significantly reduced system complexity compared to earlier methods. In this study, the digital sampling comparator measurement system from [ 27 ] is extended to 150kHz, a comprehensive uncertainty budget is presented, and the influence of practical test-bench parameters—including grounding, cabling, conductor placement, and compensation electronics—is systematically analyzed. Both the DUT and the reference CTs are of the type described in [ 38 ], which employ electronic compensation to achieve uncertainties below 1 ppm at 50 Hz . Minor differences in the components of the compensation electronics have shown to provide negligible impact at 50 Hz but might introduce different frequency responses. While their high-frequency performance is discussed, the development of a detailed uncertainty budget for the CTs themselves—and potential improvements to their design—are considered topics for future work. The primary focus of this paper is on the measurement system and methodology surrounding these CTs rather than on the CTs’ intrinsic properties.
Sensors 2025,25, 5429 5 of 23 2.3. Ratio-Based Approach for CT Characterization Instead of measuring Ip with a wideband high-current shunt, the device-under-test CT (DUT, subscript X ) is placed in series with a well-characterized reference CT (subscript R ). Because both CTs measure the same primary current, it is possible to eliminate Ip from the equations: IsX =Ip nX1+ϵX(ω),IsR =Ip nR1+ϵR(ω); (2) their complex ratio provides ϵX(ω) = nX nR IsX IsR 1+ϵR(ω)−1. (3) Hence, the error ϵX of the unknown CT can be expressed directly in terms of the measured ratio of the secondary currents and the known error ϵRof the reference CT. 3. Measurement Setup and Methodology To accurately characterize current transformers over a frequency range from 50 Hz to 150 kHz , two complementary measurement approaches were employed. The primary approach involves comparing the secondary currents of the CT under test (device under test, DUT) directly against those of a reference CT. By comparing these two measurements, the ratio between the DUT and reference CT can be determined using Equation (3). Changes made to the measurement setup—such as different cable configurations—will be reflected in variations of this ratio, providing insights into the specific influence of each change. The second approach involves directly measuring the primary current using an ammeter and comparing it to the CT’s secondary current. Although this direct measurement provides an immediate indication of the absolute ratio error of the CT, it carries greater uncertainty due to calibration of the ammeter’s gain. Nevertheless, this method remains valuable as it quantifies the true performance and absolute error of the CT. Due to difficulties in calibrating high-current high-bandwidth shunt, this method is practically limited to around 20A. Figure 2illustrates the simultaneous characterization approach, where a highfrequency high-current amplifier generates up to 10A across the specified frequency range through series-connected DUT and reference CTs. Secondary currents are measured by internal shunts within the sampling ammeter. Figure 2. Schematic of standard CT characterization setup. A high-frequency high-current source simultaneously energizes the DUT and reference CTs, enabling relative secondary current measurement and ratio comparison. 3.1. Measurement Components and Conditions The measurements were carried out within a temperature-controlled laboratory (23.0 ◦C± 0.5 ◦C , 45% ± 5% RH), enclosed in a Faraday cage where instruments use a 58 Hz power supply to minimize mains interference. It should be noted that these con-
Sensors 2025,25, 5429 6 of 23 ditions do not fully mimic real-world applications where multiple influence factors such as temperature, mechanical vibration, burden, adjacent phases, and proximity effects can influence the accuracy of the CT under test [ 39 , 40 ]. The setup and experiments described in this paper are designed for the calibration of CTs that are used as reference CTs for further applications. The measurement system comprises two nearly identical NRC electronically compensated current transformers [ 38 ], each with an accuracy of around 1 ppm at 50 Hz . One transformer serves as the DUT, while the other acts as the reference. These CTs use internal compensation electronics that minimize magnetization currents, improving linearity. Although the compensation electronics ensure low errors—less than 20 ppm and 20 µrad —up to approximately 5 kHz , the performance at higher frequencies is less known. In particular, the bandwidth of the internal amplifiers limits the effectiveness of compensation beyond several kilohertz. Subtle differences in amplifier design between the two models could also influence high-frequency performance. Their performance is examined throughout this paper, particularly in Section 4.8. As such, a question addressed in this study is up to what frequency the electronic compensation remains effective. A bus-bar cable carries the primary excitation current, which is routed sequentially through the cores of both CTs to ensure exposure to identical current waveforms. The primary conductor is carefully centered in each CT using non-conductive magnetically neutral plastic spacers, standardizing the geometry and minimizing any possible positiondependent measurement effects. Although subsequent tests revealed minimal sensitivity to conductor position (see Section 4.9), this arrangement allows for the separation of variables. Current and voltage measurements are performed using a precision power analyzer (WT5000 from Yokogawa Electric Corporation, Tokyo, Japan), capable of high-speed sampling up to 2 MS/ s. The analyzer contains interchangeable modules equipped with precision shunt resistors: 6.5 mΩ (up to 30A), 110 mΩ (up to 5A), and 500 mΩ (up to 500 mA ). The appropriate shunt selection and its impact on measurement uncertainty are detailed in Section 4.6. Throughout this work, the term “sampling ammeter” refers to this instrument. The sampling ammeter integrated within the power analyzer was calibrated to ensure accurate current measurements. First, calibration of the voltage channels was performed using an AC measurement standard (5790B from Fluke Corporation, Everett, WA, USA), which provided a reference voltage to the power analyzer voltage input. For current calibration, the standard measurement circuit was used to generate either 100 mA or 10 A through precision shunt resistors (type JV; see [ 34 ]). Both the voltage and current channels were recorded simultaneously, and the amplitudes were determined using the same signal processing algorithm as applied in the main experimental measurements, minimizing systematic bias. This calibration procedure results in an estimated gain uncertainty of approximately 2.5 ppm at 50 Hz and up to 50 ppm at 150 kHz for the power analyzer. It should be noted that, in the secondary-to-secondary current comparison, this uncertainty is effectively eliminated due to the interchange of the measurement channels between runs. Measurement data is collected, stored, and processed on a laptop PC, which interfaces with the sampling ammeter via high-speed USB for transfer of raw measurement data. Twisted-pair cables are used to connect the secondary outputs of both CTs to the sampling ammeter, minimizing induced electromagnetic interference, as discussed in Section 4.11 . For diagnostic and performance verification, additional cables are connected to directly measure the secondary voltage at the CT terminals. All secondary circuits, the ammeter enclosure, the CT compensation electronics, CT housings, and the high-current generation system are connected to a single common ground
Sensors 2025,25, 5429 7 of 23 point on the ammeter. This single-point grounding strategy is implemented to prevent ground loops and minimize electrical noise, as described in Section 4.5. 3.2. High-Bandwidth Power Amplifier System To generate the required primary excitation current of 10A across the full frequency range up to 150 kHz , a dedicated high-bandwidth amplifier system was employed. The core of the setup is an arbitrary waveform generator, which provides a stable sinusoidal output with controllable frequency. This signal is passed into an adjustable potentiometer, enabling manual smooth ramp-up of the current amplitude. This allows for consistent primary current levels at each frequency while also providing an additional layer of safety. This signal is then fed to a high-bandwidth amplifier capable of delivering the necessary power to drive high currents through the CTs, overcoming the frequency-dependent reactance within the measurement circuit. To ensure that no direct current component is present, which could otherwise lead to unwanted magnetization of the CT cores, auxiliary LC filtering is implemented. An inductor serves as a DC bypass, while a series-connected capacitor compensates for circuit reactance at higher frequencies. For quick verification of the generated primary current, a clamp meter is placed around the primary current carrying bus-bar through the CTs, which is used to confirm the amplitude prior to and during each test. 3.3. Gain Elimination Method for Sampling Ammeter When the same primary current Ip1 is fed through both CTs, each CT’s secondary current is measured on a separate current ammeter channel (or “module”). Let gmod1 and gmod2 be the gain correction factors of these two modules (ideally gmod = 1). The measured secondary currents are then ICTA1=Ip1·nCTA ·gmod1,ICTB1=Ip1·nCTB ·gmod2 . (4) Because gmod1 and gmod2 are never truly unity and vary with factors like frequency and ammeter configuration, one cannot directly infer nCTA/B from either nCTA/B1 or nCTA/B2 alone. At the ppm level, measuring and compensating for these gains across the entire frequency range would be cumbersome. A method to eliminate module gain errors is to interchange the measurement connections: after the initial measurement, CT A is connected to the second current ammeter module, and CT B is connected to the first module. A second primary current Ip2 (which will be approximately the same as Ip1) is then applied, yielding the ratio measurements nCTA/B1=ICTA 1 ICTB 1=nCTA gmod1 nCTB gmod2 and nCTA/B2=ICTA 2 ICTB 2=nCTA gmod2 nCTB gmod1 , (5) where the second equation applies after interchanging the modules. The unknown module gains appear in reciprocal form across the two ratio measurements, nCTA/B1 and nCTA/B2 . By taking the geometric mean, the module gains cancel out: nCTA/B=√nCTA/B1·nCTA/B2=rnCTA gmod1 nCTB gmod2 ×nCTA gmod2 nCTB gmod1 =nCTA nCTB . (6) This simple interchanging approach therefore provides the relative ratio nCTA/B without individually characterizing the module gains. In practice, this technique simplifies the calibration of CTs.
Sensors 2025,25, 5429 8 of 23 3.4. Ratio Estimation Algorithm Accurate estimation of amplitude and phase for discrete sinusoidal signals is crucial for precise CT ratio measurements. To achieve this, it is important to use good measurement practices, such as selecting a sampling frequency that is an exact integer multiple of the signal frequency, thoroughly removing any DC offset, and acquiring sufficiently long data records. By taking a Fast Fourier Transform (FFT) of the signal and selecting the highest bin, the signal amplitude is estimated from the magnitude of this dominant frequency bin. However, when the frequency of the signal does not exactly align with discrete FFT bins, spectral leakage occurs. This leakage redistributes signal energy into adjacent bins, causing inaccurate amplitude estimates. It is important to note that, technically, if one measures the ratio between two signals with small phase differences using the highest-bin FFT method, amplitude biases may partially cancel out. Moreover, this approach does not accurately estimate the absolute amplitude of the sine wave, preventing verification of the expected measurement results. A solution is the use of a resampling algorithm [ 41 ]. This method effectively realigns signal frequencies onto FFT bins, reducing leakage and simplifying analysis. Despite its effectiveness, resampling is computationally very intensive. As an alternative, this paper uses the interpolated Discrete Fourier Transform (DFT) technique, specifically the threepoint interpolated Hanning window DFT method ( idft3phann ), based on [ 42 ] and adapted from the algorithm in [43]. Algorithm Steps The process for determining the ratio between two measurement channels is described below and in the flowchart shown in Figure 3. Start Divide data into 0.04 s segments Apply Hanning window to each segment Compute DFT Identify peak magnitude bin Estimate offset from adjacent bins Interpolate DFTCompute ratio and phase difference From ratios, get mean & std. dev. End Figure 3. Flowchart of the algorithm for determining the ratios. 1. Divide each channel’s data into segments of duration 0.04s, denoting each segment as x[n]. For example, a 1s recording yields 25 segments per channel. 2. Apply a Hanning window to each segment x[n] to reduce spectral leakage. The Hanning window is chosen for its favorable side-lobe attenuation ( − 31.5 dB ) and moderate main-lobe width (approximately two-FFT-bin increase over non-windowed signal). 3. Compute the DFT of each windowed segment and identify the bin with the highest magnitude (the peak bin). 4. Examine the magnitudes of the bins adjacent to the peak bin to estimate an offset parameter. This offset quantifies how far the true frequency lies from the center of the peak discrete bin using the relative heights of the side bins. 5. Interpolate the DFT using the offset parameter and side-bin magnitudes to estimate the true signal characteristics, including frequency, amplitude, phase, and the DC component.
Sensors 2025,25, 5429 9 of 23 6. Calculate the ratio between the two channels for each segment using the amplitude and phase values, following the procedure described in Section 3.3. 7. Average the computed ratios across all segments to obtain the overall mean and standard deviation for the measurement. 4. Results 4.1. Baseline Measurement Setup Results This section presents the baseline results from the measurement setup, serving as the reference for all the subsequent configuration changes. To ensure reliable comparisons, a new reference measurement was performed daily prior to any setup changes, and the baseline setup remained consistent throughout. The measurement system uses two simultaneous methods: the primary current (approximately 10A) and each CT’s secondary current (100 mA ) are recorded. The nominal CT ratio is 100:1, but practical effects, such as losses and internal impedance, result in a secondary current that is slightly less than the ideal value. By systematically measuring at discrete frequencies between 50 Hz and 150 kHz , ratio errors can be accurately quantified. The focus is on developing the reference measurement setup, but there is always some interdependence between the CTs used and the measurement. The findings should generalize to other systems, but the exact deviations and uncertainties are determined by the exact components used. A direct comparison of the secondary currents enables the evaluation of relative CT performance (see Equation (3)). If the CTs have identical frequency responses and there is no capacitive current leakage before the primary current passes through both CTs, the secondary currents will be equal. If any parameter is changed—such as substituting a shunt resistor in one CT—the resulting differences are directly attributable to that change. Additionally, this secondary-to-secondary method is how a DUT CT at higher currents would be characterized. Note that, in this experiment, a DUT or reference CT is not explicitly present. Rather, two CTs of the same model and manufacturer are used. This helps with the development of the measurement method, and in the future can lead to a setup with a reference CT and an unknown DUT. 4.1.1. Current Ratio Comparison Figure 4shows the direct secondary-to-secondary comparison using regular (left) and symmetric logarithmic scale (right). Below 5 kHz , the difference is less than 7 ppm , which is within the stated measurement uncertainty. Above 5 kHz , deviations increase, reaching up to 3000 ppm at 150 kHz . Note that the symlog scale combines linear scaling (between − 10 ppm and 10 ppm ) with logarithmic scaling elsewhere, highlighting small variations around zero. Note that visually the vertical jump from 5 kHz to 10 kHz may appear similar to the jump from 10 kHz to 50 kHz ; however, numerically, the first is about 10 ppm , whereas the second is nearly 500 ppm . Always refer to the regularly scaled plot for accurate interpretation over large frequency ranges. Primary-to-secondary current ratio analysis further characterizes the frequencydependent behavior of the CTs. We compared the measured primary current Ip with the secondary currents Is,CTA and Is,CTB , the measured ratios across the full frequency range are shown in Figure 5. The power analyzer was calibrated at each discrete measurement frequency for both the 100 mA and 10 A current ranges. Calibration was performed prior to the start of testing using a reference shunt and voltage calibrator system at 50 Hz, achieving an uncertainty of 2.5 ppm [ 34 ]. At 150 kHz, the calibration uncertainty increased to approximately 50 ppm. The uncertainty bars shown in the primary-to-secondary ratio plots account for these calibration uncertainties. In the case of secondary-to-secondary mea-
Sensors 2025,25, 5429 16 of 23 Voltage-induced leakage currents influence the calibration results of CTs [ 29 , 44 , 45 ]. In [ 45 ], it is shown that this voltage-induced leakage current in the shielded high-voltage cable equals Ileak =ωCV , resulting in a voltage-dependent complex ratio error of a current transformer given by ε(V) = ωCV Ipsin φ. (7) Although in our experiments only low voltages are present, at higher frequencies the possibility of capacitive coupling between the primary conductor and the CT secondary winding remains, which could introduce similar errors [46]. For the experimental evaluation, two configurations were compared: centered and eccentric. From the results, no statistically significant deviation is observed up to 150 kHz . Hence, for currents below 10A and with the adopted 110 mΩ burden, with no additional voltage present, conductor positioning does not measurably affect the ratio for the CTs used in this experiment. For the CTs used in this experiment, having precisely spaced secondary windings to minimize coupling, an air-gap aperture, and operated with burdens below 0.5 V, the measurements indicate that achieving ppm-level ratio accuracy does not require sub-millimeter centering fixtures. Routine centering to within a few millimeters suffices, simplifying mechanical design for calibration routines. 4.10. Mutual Proximity of Two CTs When two CTs share the same primary conductor during comparison, mutual inductance and stray capacitive coupling between their cores and compensation circuits could, in principle, affect the measured ratio. The CTs used in this study are equipped with a grounded metal shield specifically designed to suppress external flux linkage. However, to verify the effectiveness of this shielding and to quantify any potential proximity effects, the CTs were tested at spacings of 3cm and 30cm. The results show that, up to 10 kHz , there is no observable impact of CT spacing within the measurement uncertainty. At frequencies above 10 kHz , a decrease in the measured secondary current was observed when the CTs were closely spaced, suggesting that some coupling or leakage may occur at higher frequencies. In this study, a spacing of 30 cm was used for all the subsequent experiments as a practical precaution. It should be noted, however, that this guideline may not generalize to other CT designs, particularly those without dedicated shielding, which may be more susceptible to proximity effects. Additionally, spacing CTs too far apart may introduce capacitive leakage currents from the primary conductor, causing the CTs to no longer measure identical primary currents. Therefore, careful consideration of both proximity and shielding is recommended when designing calibration setups, and validation measurements should be conducted for each new CT type and arrangement. 4.11. Cable Characterization This section examines the electrical properties of cables linking the current transformer’s secondary side to the current measurement bridge. Secondary side cable selection could influence measurement accuracy, primarily due to the inherent cable impedance. This impedance includes series resistance ( R ), and, for high-frequency measurement, especially important, inductive reactance ( XL ), and potentially parallel parasitic capacitance depending on the cable design. An equivalent circuit illustrating the measurement system is provided in Figure 13.
Sensors 2025,25, 5429 17 of 23 Figure 13. Simplified equivalent circuit depicting the cable measurement setup. The secondary winding of the CT (green) is connected via the test cable (orange) to the internal shunt resistor of the PA (red). Secondary current (Is) is determined by measuring the voltage across the PA shunt. Cable characteristics are derived by measuring the voltage ( Vs , blue) at the CT output terminals. In this model, it is assumed that the inductance of the shunt resistor inside the power analyzer is negligible compared to that of the external cable. This assumption occurs as the power analyzer employs internal coaxial shunts specifically engineered to minimize inductance and maintain linearity at higher frequencies. Cable impedance ( Zcable ) was determined experimentally by simultaneously capturing voltage ( Vs ) and current ( Is ) amplitude and phase. These measurements spanned frequencies from 50Hz to 150kHz. Impedance components were computed using phasor notation: Zcable =V I=⇒R=ℜ(Zcable),XL=ℑ(Zcable)(8) High-frequency operation of current transformers makes them particularly sensitive to elevated secondary impedance. The CT must produce a sufficient secondary voltage to achieve the specified current ratio. This effect is notably pronounced in electronically compensated CTs since their internal feedback mechanisms inject compensatory current to mitigate leakage. Figure 13 illustrates how secondary impedance prompts the CT to generate voltage across its magnetizing inductance ( Lm ) and core losses ( Rf e ), thus increasing leakage current through these parallel components. 4.11.1. Twisted-Pair Cable Performance Twisted-pair stranded cables, preferred for their electromagnetic noise shielding, were assessed for inductance and resistance. The cables used in this study were banana test leads with a 0.75 mm2 cross section. At 150 kHz , inductive reactance ( XL ) measurements for lengths 50, 100, and 190 cm showed an inductance of approximately 0.78 µH/ m (Table 2). Linear regression confirmed cable inductance linearity with length, yielding R2=0.99. Table 2. Twisted-pair cable reactance and resistance at 150kHz. Cable Length (cm) Reactance XL(Ω) Measured Rtotal (Ω)Rcable (Ω) 50 0.52 0.14 0.03 100 0.88 0.16 0.05 190 1.56 0.20 0.09 Resistance measurements corrected for the internal PA shunt (0.110 Ω ) indicated cable resistance of about 0.04 Ω/ m, confirming negligible additional resistance beyond the known internal shunt, as shown in Figure 14.
Sensors 2025,25, 5429 18 of 23 Figure 14. Left: Linear correlation between cable length and resistance at 150 kHz , indicating a resistance of 0.04 Ω/ m and validating that the other resistance is from the internal shunt of 0.11 Ω . Right: Frequency-dependent resistance highlighting increased resistance proportional to cable length. High-frequency effects (skin and proximity) can increase the observed R compared to the 50 Hz value). 4.11.2. Coaxial Cable Performance RG-58 coaxial cables offer shielding and precise impedance control, displaying slightly lower inductance (0.68 µH/ m) but significantly higher resistance compared to twisted-pair cables, as shown in Figure 15. Additionally, inherent parallel capacitance in coaxial cables risks accuracy at higher frequencies by bypassing the measurement shunt. Figure 15. Comparison of coaxial and twisted-pair cables (100 cm) at varying frequencies. Left: Higher coaxial cable resistance is evident. Right: Inductive reactance ( XL ), indicating linear frequency-dependent inductance. Overall, twisted-pair cables balance lower resistance and manageable inductance, whereas coaxial cables, although lower in inductance, introduce higher resistive and capacitive leakage paths. For primary to secondary current measurements, the choice of cable is dependent on CT secondary voltage capabilities and measurement accuracy requirements. For CT to CT ratios, as long as the cables are reasonably identical, the effects should largely cancel out. However, the signal-to-noise ratio decreases, which can be critical for detecting high-order harmonics with very small amplitudes. Therefore, minimizing current losses helps to improve sensitivity. 4.12. Uncertainty Budget An uncertainty budget was constructed following the GUM guidelines to quantify the uncertainty associated with the CT ratio error measurement system [ 47 ]. This budget consolidates the main contributions identified throughout the previous analyses. Table 3 presents the expanded uncertainties ( k= 2) for the secondary-to-secondary current comparison method. It is important to note that the uncertainty of the reference CT itself is not included; the creation and full characterization of a broadband reference CT are identified as aspects for future work.
Sensors 2025,25, 5429 19 of 23 In the secondary-to-secondary method, many sources of uncertainty are eliminated because they are common to both CTs. For example, any gain error in the ammeter cancels due to the channel interchange technique. This makes the method robust and particularly suitable for high-accuracy relative measurements. The current setup can also be adapted for primary-to-secondary calibration, where the measurement of primary current introduces additional uncertainty (approximately 2.5 ppm at 50 Hz and increasing to 50ppm at 150 kHz). Table 3highlights the combined expanded uncertainties in the magnitude ratio measurement for three representative frequencies: 50 Hz , 10 kHz , and 150 kHz . Additional frequency points follow similar trends, and their uncertainties are depicted in the relevant result figures. Table 3. Magnitude ratio uncertainty budget for the secondary-to-secondary current CT ratio measurement system. All entries are expanded uncertainties (k=2) in ppm. Source of Uncertainty 50 Hz 10 kHz 150 kHz Same-type shunt temperature drift (Section 4.2) 0.5 0.5 1.0 Measurement noise (Section 4.3) 3.0 3.3 10.8 Intra-day repeatability (Section 4.4) 3.1 3.4 96 Grounding/interference (Section 4.5) 4.0 5.0 10.0 Instrument resolution (Section 4.7)13.8 3.8 3.8 Combined expanded uncertainty U(k=2)7.0 7.9 97 1 Instrument quantization is modeled as a rectangular distribution ( k= 1 /√3 ). As the errors are correlated, the effective error is further divided by 1/√2. This uncertainty analysis confirms that, for the secondary-to-secondary comparison method, the combined expanded uncertainty remains below 10 ppm up to 10 kHz , and below 100ppm at 150 kHz. 5. Discussion and Conclusions This paper presents a simplified calibration method for current transformers (CTs), utilizing a sampling ammeter (power analyzer) to directly measure the ratio of secondary currents, replacing the more complex systems previously employed involving standard transformers, buffering circuits, and voltage samplers. The measurement method simplifies the calibration process, reduces complexity, and directly enables up to 150 kHz bandwidth, covering the IEC WB3 class [12]. The developed calibration setup achieved an expanded measurement uncertainty ( k= 2) of approximately 10 ppm up to 10 kHz , an improvement with respect to the previous 50 ppm achieved with the same system [ 27 ]. Beyond 10 kHz and up to 150 kHz , the magnitude ratio uncertainties remained below 120 ppm , thus outperforming the present state-of-the-art approaches [ 22 , 23 ] and confirming the suitability of this simplified setup for high-frequency characterization. Note that the reference CT itself will introduce an additional magnitude ratio uncertainty of approximately 2.5 ppm at 50 Hz up to 50 ppm at 150kHz. Several operational parameters and configuration choices affecting the measurement accuracy and repeatability were also investigated. A typical warm-up period of approximately 30 min for the sampling ammeter was established, effectively limiting temperatureinduced drift to approximately 1 ppm . With a measurement sampling duration of 10 s per frequency setpoint, the uncertainty due to sampling was maintained below 5 ppm to 150 kHz . To achieve these uncertainties, daily reference measurements for comparison were performed to account for potential temporal or laboratory-condition-related drifts.
Sensors 2025,25, 5429 20 of 23 Grounding the secondary circuits of the CTs resulted in a measurable difference of about 4 ppm in the measurement at frequencies up to 100 Hz , whereas no significant impact was observed beyond this frequency. To improve repeatability, grounding was implemented for all the subsequent tests. The choice of the measurement shunt resistor value plays a significant role in balancing measurement accuracy and averaging time. In this work, a resistance of approximately 110 mΩ was effective, although the optimal value may vary depending on the application and instrument characteristics. The selected value is relatively high for CT calibrations as its burden leads the CT to deliver voltage, which increases magnetization losses. However, given that 1m of twisted pair cable connected to the secondary side adds an impedance of around 1 Ω at 150 kHz , it is probably an acceptable compromise. Although the electronically compensated CTs in this study did not exhibit measurable sensitivity to cable type, different CT designs may be more susceptible. The shielded housings of the CTs, when properly grounded, were effective in mitigating interference at close proximity up to 10 kHz ; above this, some coupling can be observed. Whereas a spacing of 30 cm between transformers was used for these experiments, validation for different CTs and configurations remains important. The position of the primary conductor did not significantly influence the measurement results for the CTs used in these experiments either. To demonstrate the applicability of the new setup, in future work, the CTs used in this study will be used as a reference to calibrate other types of CTs, such as those developed in [ 48 ]. The influence of a high-current fundamental tone of several hundreds of amperes at 50 Hz can be investigated using a separate primary winding [ 49 ]. It may be beneficial to design higher-bandwidth compensation electronics for the reference CTs to flatten their frequency response. This way, the bandwidth of the entire system could be extended to 500kHz to cover the IEC WB4 class [12] as well. Further improvements may be realized by optimizing grounding. Measuring earth currents across a range of secondary current levels to determine scaling behavior or isolating the contribution of grounded internal amplifiers within the CTs by disabling or removing them could help to clarify the origin of observed earth loop currents. In addition, the effects of cable geometry and material could be examined, for instance, by using short Litz wires or alternative cable configurations to better understand and manage high-frequency impedance and leakage effects. Capacitive coupling between the primary and secondary windings, particularly at higher voltages at these elevated frequencies, remains a topic for further exploration as it may become more significant under different operating conditions. The impact of electromagnetic interference, which could be the origin of day-to-day fluctuations (the largest uncertainty contribution at the highest frequencies), might be further investigated by changing the input filter settings of the ammeters. Author Contributions: Conceptualization, F.M. and G.R.; methodology, M.R., E.H. and H.E.v.d.B.; software, M.R.; formal analysis, M.R. and H.E.v.d.B.; investigation, M.R. and R.v.L.; writing—original draft preparation, M.R. and F.M.; writing—review and editing, M.R., H.E.v.d.B., D.v.d.B., F.M., E.H. and G.R.; supervision, H.E.v.d.B. and F.M.; project administration, H.E.v.d.B.; funding acquisition, F.M., G.R. and H.E.v.d.B. All authors have read and agreed to the published version of the manuscript. Funding: This research is part of the 22NRM06 ADMIT joint research project that has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable.
Sensors 2025,25, 5429 21 of 23 Data Availability Statement: Dataset available on request from the authors. Acknowledgments: Commercial equipment is only identified in this paper in order to adequately specify the experimental procedure. This identification does not imply a recommendation or endorsement by VSL, nor does it imply that the equipment identified is necessarily the best available for the purpose. During the preparation of this manuscript, the author used GitHub Copilot (version 1.182.0) for assistance with developing and optimizing Python 3.11 code used in data processing and analysis. The author also used ChatGPT (GPT-4.5, OpenAI) for text refinement, editing, and structuring of manuscript sections. The authors have reviewed and edited the output and take full responsibility for the content of this publication. Conflicts of Interest: Authors M.R., H.E.v.d.B., E.H., R.v.L., and G.R. were employed by the company VSL. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. References 1. Novitskiy, A.; Westermann, D. Time series data analysis of measurements of supraharmonic distortion in LV and MV networks. In Proceedings of the 2017 52nd International Universities Power Engineering Conference (UPEC), Heraklion, Greece, 29 August–1 September 2017; pp. 1–6. [CrossRef] 2. Sudha Letha, S.; Delgado, A.E.; Rönnberg, S.K.; Bollen, M.H.J. Evaluation of Medium Voltage Network for Propagation of Supraharmonics Resonance. Energies 2021,14, 1093. [CrossRef] 3. Kalair, A.; Abas, N.; Kalair, A.; Saleem, Z.; Khan, N. Review of Harmonic Analysis, Modeling and Mitigation Techniques. Renew. Sustain. Energy Rev. 2017,78, 1152–1187. [CrossRef] 4. Ghorbani, M.J.; Mokhtari, H. Impact of Harmonics on Power Quality and Losses in Power Distribution Systems. Int. J. Electr. Comput. Eng. (IJECE) 2015,5, 166–174. [CrossRef] 5. IEC 61000-3-2; Electromagnetic Compatibility (EMC)—Limits—Limitation of Harmonic Current Emissions. IEC: Geneva, Switzerland, 2006. 6. IEEE 519-1992; Recommended Practices and Requirements for Harmonic Control in Electric Power Systems. IEEE: New York, NY, USA, 1992. 7. IEC 61000-4-30; Electromagnetic Compatibility (EMC)-Part 4—30: Testing and Measurement Techniques-Power Quality Measurement Methods. IEC: Geneva, Switzerland, 2015. 8. IEC 62586-2; Power Quality Measurement in Power Supply Systems-Part 2: Functional Tests and Uncertainty Requirements. IEC: Geneva, Switzerland, 2017. 9. Istrate, D.; Amaripadath, D.; Toutain, E.; Roche, R.; Gao, F. Traceable measurements of harmonic (2 to 150) kHz emissions in smart grids: Uncertainty calculation. J. Sens. Sens. Syst. 2020,9, 375–381. [CrossRef] 10. Agazar, M.; D’Avanzo, G.; Frigo, G.; Giordano, D.; Iodice, C.; Letizia, P.S.; Luiso, M.; Mariscotti, A.; Mingotti, A.; Munoz, F.; et al. Power Grids and Instrument Transformers up to 150 kHz: A Review of Literature and Standards. Sensors 2024,24, 4148. [CrossRef] [PubMed] 11. Crotti, G.; Chen, Y.; Çayci, H.; D’Avanzo, G.; Landi, C.; Letizia, P.S.; Luiso, M.; Mohns, E.; Muñoz, F.; Styblikova, R.; et al. How Instrument Transformers Influence Power Quality Measurements: A Proposal of Accuracy Verification Tests. Sensors 2022, 22, 5847. [CrossRef] 12. IEC 61869-2:2012; Instrument Transformers—Part 2: Additional Requirements for Current Transformers. IEC: Geneva, Switzerland, 2012. 13. Collin, A.; Delle Femine, A.; Gallo, D.; Langella, R.; Luiso, M. Compensation of Current Transformers’ Nonlinearities by Tensor Linearization. IEEE Trans. Instrum. Meas. 2019,68, 3841–3849. [CrossRef] 14. Cataliotti, A.; Cosentino, V.; Crotti, G.; Delle Femine, A.; Di Cara, D.; Gallo, D.; Giordano, D.; Landi, C.; Luiso, M.; Modarres, M.; et al. Compensation of Nonlinearity of Voltage and Current Instrument Transformers. IEEE Trans. Instrum. Meas. 2019, 68, 1322–1332. [CrossRef] 15. Novitskiy, A.; Schlegel, S.; Westermann, D. Measurements and Analysis of Supraharmonic Influences in a MV/LV Network Containing Renewable Energy Sources. In Proceedings of the 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM), Kärdla, Estonia, 12–15 June 2019; pp. 1–6. [CrossRef]
Sensors 2025,25, 5429 22 of 23 16. Yaghoobi, J.; Zare, F.; Rehman, T.; Rathnayake, H. Analysis of High Frequency Harmonics in Distribution Networks: 9–150 kHz. In Proceedings of the 2019 IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australia, 13–15 February 2019; pp. 1229–1234. [CrossRef] 17. Mariscotti, A.; Mingotti, A. The Effects of Supraharmonic Distortion in MV and LV AC Grids. Sensors 2024,24, 2465. [CrossRef] 18. Ghassemi, M. Accelerated Insulation Aging Due to Fast, Repetitive Voltages: A Review Identifying Challenges and Future Research Needs. IEEE Trans. Dielectr. Electr. Insul. 2019,26, 1558–1568. [CrossRef] 19. Espín-Delgado, Á.; Rönnberg, S.; Letha, S.S.; Bollen, M. Diagnosis of Supraharmonics-Related Problems Based on the Effects on Electrical Equipment. Electr. Power Syst. Res. 2021,195, 107179. [CrossRef] 20. Yaghoobi, J.; Alduraibi, A.; Martin, D.; Zare, F.; Eghbal, D.; Memisevic, R. Impact of High-Frequency Harmonics (0–9 kHz) Generated by Grid-Connected Inverters on Distribution Transformers. Int. J. Electr. Power Energy Syst. 2020,122, 106177. [CrossRef] 21. Streubel, T.; Kattmann, C.; Eisenmann, A.; Rudion, K. Characterization of Supraharmonic Emission from Three Different Electric Vehicle Charging Infrastructures in Time and Frequency Domain. Energies 2022,15, 394. [CrossRef] 22. Crotti, G.; Letizia, P.S.; Stybliková, R.; Hlávac ˘ ek, J.; Agazar, M.; Istrate, D.; Mohns, E.; van den Brom, H.E.; Munoz, F.; Cayci, H.; et al. Characterization of MV Instrument Transformers for Power Quality Measurement: The contribution from the IT4PQ project. In Proceedings of the 2024 Conference on Precision Electromagnetic Measurements (CPEM), Denver, CO, USA, 8–12 July 2024; pp. 1–2. [CrossRef] 23. Chen, Y.; Mohns, E.; Mingotti, A.; Crotti, G.; Letizia, P.S.; Stiegler, R.; üaye¹, H.; Ayhan, B.; Munoz, F. Reference Measurement Systems for the Calibration of Instrument Transformers Under Power Quality Phenomena and their Uncertainties. In Proceedings of the 2023 IEEE 13th International Workshop on Applied Measurements for Power Systems (AMPS), Bern, Switzerland, 27–29 September 2023; pp. 1–6. [CrossRef] 24. van den Brom, H.E.; Rietveld, G.; So, E. Sampling Current Ratio Measurement System for Calibration of Current Transducers up to 10 kA With 5 ·10−6Uncertainty. IEEE Trans. Instrum. Meas. 2015,64, 1685–1691. [CrossRef] 25. Crotti, G.; Femine, A.D.; Gallo, D.; Giordano, D.; Landi, C.; Letizia, P.S.; Luiso, M. Calibration of Current Transformers in Distorted Conditions. Proc. J. Phys. Conf. Ser. 2018,1065, 052033. [CrossRef] 26. Praeg, W.F. Precision coaxial manganin shunts. IEEE Trans. Nucl. Sci. 1971,18, 375–376. [CrossRef] 27. Muñoz, F.; Madhar, S.; van den Brom, H.E.; Houtzager, E.; Rietveld, G. Calibration of Wideband Current Transformers using a Precision Power Analyzer as Comparator. In Proceedings of the 2024 Conference on Precision Electromagnetic Measurements (CPEM), Denver, CO, USA, 8–12 July 2024; pp. 1–2. [CrossRef] 28. Ramboz, J.D.; Petersons, O. A Calibration Service for Current Transformers; Technical Report Special Publication 250-36; National Institute of Standards and Technology: Gaithersburg, MD, USA, 1991. 29. So, E.; Arseneau, R.; Bennett, D.; Frigault, M.E. A Current-Comparator-Based System For Calibrating High-Voltage Current Transformers Under Actual Operating Conditions. IEEE Trans. Instrum. Meas. 2011,60, 2449–2454. [CrossRef] 30. Moore, W.J.M.; Miljanic, P.N. The Current Comparator; Materials, Circuits and Devices, Institution of Engineering and Technology: Stevenage, UK, 1988; p. 132. 31. Mohns, E.; Roeissle, G.; Fricke, S.; Pauling, F. An AC Current Transformer Standard Measuring System for Power Frequencies. IEEE Trans. Instrum. Meas. 2017,66, 1433–1440. [CrossRef] 32. Tarasso, V.; Zachovalová, V.N.; Garcocz, M.; Lind, K.; Mansten, T.; Pogliano, U.; Rietveld, G.; Voljˇc, B. A survey of current shunts for ac power measurements. In Proceedings of the Conference on Precision Electromagnetic Measurements (CPEM 2010), Daejeon, Republic of Korea, 13–18 June 2010; pp. 231–232. [CrossRef] 33. Ouameur, M.; Ziade, F.; Le Bihan, Y. Novel Broadband Calibration Method of Current Shunts Based on VNA. IEEE Trans. Instrum. Meas. 2018,68, 854–863. [CrossRef] 34. Heine, G.; Garcocz, M.; Waldmann, W. International Comparison of AC/DC Current Transfer Standards. EURAMET.EMK12 — Final Report. Appendix 2: “EURAMET.EM-K12: Reports of the Institutes”. Technical Report EURAMET.EM-K12, Appendix 2, Federal Office of Metrology and Surveying (BEV), Austria, 2017. Part of the EURAMET Key Comparison of AC–DC Current Transfer Standards. Available online: https://www.bipm.org/kcdb/comparison/doc/download/1213/euramet.em-k1 2_appendix_2.pdf (accessed on 1 July 2025). 35. Grundy, J. Sinusoidal response of coaxial current shunts. Proc. Inst. Electr. Eng. 1977,124, 499. [CrossRef] 36. Bosco, G.; Garcocz, M.; Lind, K.; Pogliano, U.; Rietveld, G.; Tarasso, V.; Voljc, B.; Zachovalová, V. Phase Comparison of High-Current Shunts up to 100 kHz. IEEE Trans. Instrum. Meas. 2011,60, 2359–2365. [CrossRef] 37. Mohns, E.; Meisner, J.; Roeissle, G.; Seckelmann, M. A Wideband Current Transformer Bridge. IEEE Trans. Instrum. Meas. 2014, 63, 2322–2329. [CrossRef] 38. So, E.; Bennett, D. Compact Wideband High-Current ( ≫ 1000 A) Multistage Current Transformers for Precise Measurements of Current Harmonics. IEEE Trans. Instrum. Meas. 2007,56, 584–587. [CrossRef]
Sensors 2025,25, 5429 23 of 23 39. Letizia, P.S.; Crotti, G.; Mingotti, A.; Tinarelli, R.; Chen, Y.; Mohns, E.; Agazar, M.; Istrate, D.; Ayhan, B.; Çayci, H.; et al. Characterization of Instrument Transformers under Realistic Conditions: Impact of Single and Combined Influence Quantities on Their Wideband Behavior. Sensors 2023,23, 7833. [CrossRef] 40. Agazar, M.; Istrate, D.; Pradayrol, P. Evaluation of the Accuracy and Frequency Response of Medium-Voltage Instrument Transformers under the Combined Influence Factors of Temperature and Vibration. Energies 2023,16, 5012. [CrossRef] 41. Kurten Ihlenfeld, W.G.; Seckelmann, M. Simple Algorithm for Sampling Synchronization of ADCs. IEEE Trans. Instrum. Meas. 2009,58, 781–785. [CrossRef] 42. Duda, K. Interpolation Algorithms of DFT for Parameters Estimation of Sinusoidal and Damped Sinusoidal Signals. In Fourier Transform—Signal Processing; InTech Open: Rijeka, Croatia, 2012. 43. Lapuh, R.; Jeckelmann, B. Sampling with 3458A: Understanding, Programming, Sampling and Signal Processing; Left Right d.o.o.: Ljubljana, Slovenia, 2018. 44. Aristoy, G.; Santos, A.; Slomovitz, D. Testing Methods for Measuring the Effects of Stray Capacitances on High-Voltage Current Transformers. IEEE Trans. Instrum. Meas. 2015,64, 2200–2207. [CrossRef] 45. van den Brom, H.E.; van Leeuwen, R.; Rietveld, G.; Houtzager, E. Voltage Dependence of the Reference System in Mediumand High-Voltage Current Transformer Calibrations. IEEE Trans. Instrum. Meas. 2021,70, 1502908. [CrossRef] 46. So, E.; Roman, Z. High Voltage CT Ratio Errors Dependency on Voltage and Power Factor of the Metered Load. In Proceedings of the 2018 Conference on Precision Electromagnetic Measurements (CPEM 2018), Paris, France, 8–13 July 2018; pp. 1–2. [CrossRef] 47. JCGM 100:2008; Evaluation of Measurement Data—Guide to the Expression of Uncertainty in Measurement. Joint Committee for Guides in Metrology (JCGM): Paris, France, 2008. [CrossRef] 48. Kaczmarek, M.; Kaczmarek, P.; Stano, E. The Reference Wideband Inductive Current Transformer. Energies 2023,16, 7307. [CrossRef] 49. Crotti, G.; D’Avanzo, G.; Femine, A.D.; Gallo, D.; Giordano, D.; Iodice, C.; Landi, C.; Letizia, P.S.; Luiso, M.; Palladini, D.; et al. Flexible Generation Architecture for Current Transformers Testing up to 150 kHz. In Proceedings of the 2024 IEEE 14th International Workshop on Applied Measurements for Power Systems (AMPS), Caserta, Italy, 18–20 September 2024; pp. 1–6. [CrossRef] Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.