The Development and Performance of Dual-Core DC Tolerant Current Transformer

Xiong, Kui; Yue, Changxi; Zhou, Feng; Li, Shisong; Yu, Jicheng; Liang, Sai

doi:10.1109/tpwrd.2022.3215187

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…For simplification, some approximations are presented as follows: 1) the hybrid core is equivalent to the integral core with the same volume according to Equations ( 15), (16), and Figure 7 [40], and 2), the B-H curve is roughly expressed by Equation (17). where B eq is the magnetic flux density in the equivalent core, A s1 is the cross-sectional area of the lower core, B 1 is the magnetic flux density in the lower core, and H eq is the magnetic field intensity inside the equivalent core.…”

Section: Equivalent Magnetisation Curve and Working State Analysismentioning

confidence: 99%

“…A half-wave rectified current with the DC component of approximately 30 percent, which represents an extremely asymmetric condition, is used for testing the DC tolerance ability of the MPICT [16]. The simulation results are shown in Figure 17.…”

Section: Case 4-half-wave Rectified Waveformmentioning

confidence: 99%

“…It is a viable method to avoid saturation. Yet, the air gap causes a considerable decrease in relative permeability, which will definitely increase the measurement error [16]. 2) Using the dual-core CT presented in ref.…”

mentioning

confidence: 99%

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A novel measurement‐protection‐integrated current transformer based on hybrid core and magnetic field sensor

Zhang,

Chen,

Tian

et al. 2024

IET Electric Power Appl

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Current transformers (CTs) are widely used for energy metering, relay protection, condition monitoring and control circuits. However, CT saturation may lead to non‐negligible measurement errors and relay malfunctions, posing a threat to the stability and security of the power grid. In order to address the problem of CT saturation, a novel measurement‐protection‐integrated current transformer (MPICT) is proposed. First, the working states of the MPICT are summarised and the approximate expressions for the steady‐state measuring characteristics, the transient response characteristics, and the measurement errors are derived from the equivalent circuit model. Then, the feasibility of the MPICT and the theoretical analyses are verified by the 3D FEM simulation imitating the presented MPICT excited by diverse currents. Finally, a down‐scale prototype is fabricated and a series of tests are conducted in the laboratory to validate the effectiveness of the equipment. The simulation and experimental results suggest that the output of the MPICT can accurately reconstruct the primary current waveform, even if the primary current contains decaying or constant DC component.

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Section: Equivalent Magnetisation Curve and Working State Analysismentioning

confidence: 99%

Section: Case 4-half-wave Rectified Waveformmentioning

confidence: 99%

See 1 more Smart Citation

A novel measurement‐protection‐integrated current transformer based on hybrid core and magnetic field sensor

Zhang,

Chen,

Tian

et al. 2024

IET Electric Power Appl

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show abstract

“…[21] aimed at the problem of large harmonic voltage M-E caused by inaccurate acquisition of DCTV broadband transmission characteristics, obtained DCTV transfer function values at different frequencies through measurement, constructed Error function based on rational approximation fitting principle, and proposed a DCTV wide frequency domain modeling method independent of DCTV parameters. [22] proposes a static magnetic evaluation analysis model suitable for traditional and air gap CT to address the issue of limited DC withstand capacity in AC measurement processes with large amplitudes. On this basis, a corresponding current transformer composed of two independent magnetic cores was proposed to reduce M-E. [23] analyzed the influence of bus voltage M-E on the sensorless method of expanding Counter-electromotive force, and proposed a DC link voltage observer based on power balance to monitor M-E, aiming at the inaccurate measurement of DC link voltage sensor under the condition of high speed and high torque of motor.…”

Section: Introductionmentioning

confidence: 99%

Transient Frequency Response Test and Measurement Error Prediction of DCTV based on AI

Yang,

Zhai,

Tang

et al. 2024

Preprint

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To solve the problem that the Frequency Response (FR) test scheme and equipment of the traditional DC Voltage transformer (DCTV) used for DC transmission are insufficient, and the Measurement Error (M-E) of the related measurement system is difficult to achieve accurate prediction, a temporary FR test and M-E prediction method of DCTV based on Artificial Intelligence (AI) is proposed. Firstly, the frequency characteristic of DC side voltage of DCTV is analyzed. On this basis, a DCTV transient FR testing method based on transient AC & DC superposition was developed. Then, the method of voltage sudden change and phase correction is used to achieve transient process DCTV response time testing. Finally, the Ant Colony Optimization (ACO) algorithm was improved by combining an adaptive inertia weight improvement strategy, achieving accurate prediction of the M-E of DCTV. The proposed AI based DCTV transient FR testing and M-E prediction method were compared and analyzed with the other three methods through simulation experiments. The results indicate that under the same experimental conditions, the prediction results of the DCTV measurement ratio error and phase angle error of the proposed method are optimal.

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Nonlinear modeling of measurement errors in gateway energy meters

Hong

2024

Measurement: Sensors

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The Development and Performance of Dual-Core DC Tolerant Current Transformer

Cited by 6 publications

References 20 publications

A novel measurement‐protection‐integrated current transformer based on hybrid core and magnetic field sensor

A novel measurement‐protection‐integrated current transformer based on hybrid core and magnetic field sensor

Transient Frequency Response Test and Measurement Error Prediction of DCTV based on AI

Nonlinear modeling of measurement errors in gateway energy meters

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