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Article

Modeling and Simulation of Wide-Frequency Characteristics of Electromagnetic Standard Voltage Transformer

1
School of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
2
Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China
3
China Electric Power Research Institute, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Electronics 2024, 13(21), 4206; https://doi.org/10.3390/electronics13214206
Submission received: 23 September 2024 / Revised: 24 October 2024 / Accepted: 25 October 2024 / Published: 27 October 2024
(This article belongs to the Special Issue New Insights in Computational Intelligence and Its Applications)

Abstract

:
To achieve the broadband applicability of standard voltage transformers in “dual high” power systems, an equivalent circuit model of the standard voltage transformer is first established. Using the complex magnetic permeability method and utilizing existing core parameters, the excitation impedance values are obtained. Next, based on the equivalent circuit model, the no-load error function of the standard voltage transformer is analyzed, and through simulation, the no-load error response curve of the standard voltage transformer in the frequency range of 20 Hz to 3000 Hz is derived. The simulation results indicate that within the 20 Hz to 700 Hz range, both the no-load ratio error and the no-load angular error meet the accuracy requirements, with the ratio error within ±0.05% and the angular error within 2′. Additionally, the derivation of the error transfer function demonstrates the correlation between the no-load error values and the number of turns and cross-sectional area of the standard voltage transformer. Simulation results, obtained by increasing and decreasing the number of turns and cross-sectional area by 10%, provide valuable insights for the error compensation and structural design of standard voltage transformers.

1. Introduction

With the rapid development of the global economy and industry, energy demand continues to rise, and large-scale renewable energy is being integrated into power grids via power electronic devices. It is projected that by 2050, renewable energy will account for 55% of global electricity generation [1], while in China, this figure is expected to exceed 85% [2]. Meanwhile, the application of flexible AC/DC transmission technology and the re-electrification of the load side are driving the widespread use of power electronic devices in power transmission and on the user end. In summary, the rapid development of renewable energy sources such as wind and solar, along with the transformation of core equipment in the source–grid–load chain toward “power electronics,” is pushing the power system toward a trend of “high renewable energy penetration” and “high power electronics penetration” (referred to as the “dual high” trend) [3].
In the “dual high” power system, the key characteristics of the grid have undergone significant changes, exhibiting multimodal and time-varying features. Besides the power frequency signal, the voltage in the power system also includes transient signals in the low to medium and medium to high frequency ranges, as well as high-frequency transient signals. These signals can arise from various factors such as ferromagnetic resonance and load switching, which generate low to medium frequency signals, while medium to high frequency and high-frequency transients can be caused by events like line reclosing, short-circuit faults, lightning strikes, and gas-insulated substation faults. Additionally, renewable energy units or converters can induce electromagnetic resonance across a wide frequency range, from 0 Hz to several hundred Hz. The traditional standard voltage transformer, which is limited to measuring power frequency voltage signals, is unable to meet the real-time voltage sensing requirements across such a wide range of frequencies and bandwidths [4,5,6,7].
A voltage transformer, in principle, is a type of transformer used to transmit corresponding voltage signals to measurement instruments. In the power market, its primary application is in energy metering, where its accuracy directly affects the fairness and equity of energy transactions. The standard voltage transformer, on the other hand, is used for the calibration and analysis of measured transformers to ensure that errors are controlled within the specified accuracy range [8,9,10].
The standard voltage transformer is one of the most widely used voltage transformers, designed based on the law of electromagnetic induction. Error is a key metric for evaluating its performance, with sources of error related to the excitation characteristics of ferromagnetic materials and the structure of the device. During the repeated magnetization process of ferromagnetic materials under alternating magnetic fields, magnetic domains continuously rotate and interact, leading to hysteresis loss. This hysteresis loss represents the instantaneous power required for the core to establish alternating magnetic flux and overcome domain rotation, which is frequency dependent. When the frequency changes, the variation in hysteresis loss inevitably affects the hysteresis loop, thus altering the excitation characteristics of the core [11,12,13].
Currently, research on standard voltage transformers primarily focuses on the traceability of the devices and error accuracy across different voltage levels. However, studies on the performance of standard voltage transformers under wide frequency ranges remain limited, and there is still a need to enhance and refine experimental testing and calibration within the 20 Hz to 3000 Hz frequency range.
Papers [14,15,16] analyze the high- and low-voltage test circuits and transfer functions of standard voltage transformers, simulate their performance across different voltage levels, and conduct comparative validations of the results. However, these studies do not address the frequency characteristics of standard voltage transformers.
The paper [17,18] presents the equivalent circuit model of the standard voltage transformer, analyzes its excitation impedance, and introduces calculation and measurement methods for the primary and secondary sides, including the resistances and inductances. The no-load error curves at 20 Hz and 50 Hz are obtained through simulation, providing support for the use of standard voltage transformers in low-frequency flexible AC transmission systems. However, further research is still needed to evaluate the applicability of standard voltage transformers across a wider frequency range.
Therefore, research on the broadband characteristics of standard voltage transformers within the 20 Hz to 3000 Hz range has become indispensable.
This paper will use a 10 kV standard voltage transformer as a model, to measure its circuit parameters and analyze the theoretical and actual errors of the transformer in the 20 Hz to 3 kHz range. The corresponding error frequency characteristics will be derived, providing theoretical support for the application of standard voltage transformers in broadband scenarios.

2. Development of an Error Model for Standard Voltage Transformers

In the absence of core magnetic saturation, the main flux and leakage flux in a standard voltage transformer vary sinusoidally with time t at the frequency f of the source voltage. According to Faraday’s law of electromagnetic induction, the instantaneous value of the induced electromotive force in the winding due to the main flux is:
e 1 = N d Φ m sin ω t d t = j 2 π f N Φ m cos ω t
The effective value E of the induced electromotive force is related to the peak value Φ m of the main flux by:
E = 2 π f N Φ m = 2 π f N B m S
Under the assumption that leakage flux and winding resistance drops are negligible, it is considered that u 1 e 1 and U 1 E , where U 1 represents the effective value of the supply voltage. Given that the mutual transformer structural parameters ( S , N ) remain constant, B m is inversely proportional to the frequency f when U 1 is constant. Therefore, as the frequency f decreases, the core magnetic flux density increases. The rated working magnetic flux density of the core in standard voltage transformers is often greater than 1.0 T, and it may reach saturation as the frequency f decreases. To maintain a constant core magnetic flux density, it is necessary to increase the core cross-sectional area S or the number of winding turns N when the frequency f decreases.
The most commonly used structure for electromagnetic standard voltage transformers is the SF6 gas-insulated type. The core is assembled from laminated silicon steel sheets, followed by winding the secondary and primary windings in sequence. A high-voltage shielding cover is then added, and the high-voltage lead is routed through a post insulator. The primary winding adopts a tower-shaped, single-stage trapezoidal structure. The equivalent circuit model of the standard voltage transformer is shown in Figure 1.
In Figure 1, L 1 and R 1 are the primary winding leakage inductance and DC resistance, L m and R m are the excitation inductance and excitation resistance, L 2 and R 2 are the secondary winding leakage inductance and DC resistance (converted to the primary side), Z L is the standard voltage transformer load (converted to the primary side), U 1 is the primary voltage, and U 2 is the secondary voltage (converted to the primary side).
For the standard voltage transformer that has been designed, L 1 , L 2 , R 1 , R 2 are constant, Z L includes resistance and inductance, the value of which is only related to the size of the load, and none of the above parameters are affected by frequency. While R m corresponds to the equivalent resistance of the iron core loss, L m is a parameter that characterizes the magnetization performance of the iron core, which is affected by the excitation characteristics of the ferromagnetic material; R m and L m are not constant but vary with the degree of iron core saturation. For obtaining the wide-frequency equivalent circuit element parameters of the standard voltage transformer, the acquisition of the wide-frequency parameters of the excitation impedance is particularly important [19,20].

3. Frequency Characteristics of Complex Permeability of Ferromagnetic Materials

When analyzing the harmonic characteristics of electromagnetic transformers, the influence of the distribution capacitance is often considered, while ignoring the variation in the excitation impedance with frequency. For the high precision standard voltage transformer with wide frequency, it is necessary to consider the frequency characteristics of the excitation impedance [21,22,23]. The nonlinearity of the excitation impedance is mainly affected by the excitation characteristics of ferromagnetic materials, including two parameters: one is the permeability, representing the ability of ferromagnetic materials to conduct magnetic flux, often used to express the real permeability μ , which is defined as the magnetic flux density B to the ratio of the magnetic field strength H , usually extracted from the DC magnetization curve; the other is the core loss angle, representing the AC excitation, due to the influence of ferromagnetic loss; the magnetic induction strength B lags behind the magnetic field strength H by a phase angle, denoted by θ . Considering that there is an angular difference between H and B under AC excitation, H and B can be expressed by Equations (3) and (4).
H = H m sin ω t
B = B m sin ( ω t θ )
H m is the magnitude of the magnetic field strength; B m is the magnitude of the magnetic flux density.
The complex permeability of a ferromagnetic material in one cycle can be expressed as:
μ = B H = B m H m e j θ = μ j μ
The real and imaginary parts of the complex permeability are, respectively:
μ = B m cos θ H m
μ = B m sin θ H m
The core loss angle tangent is:
tg θ = μ μ
The current electromagnetic transformer core is a laminated structure, whose thickness is much less than the width and length, so only the one-dimensional flow of current is considered [24,25,26]; H Z represents the magnetic field intensity applied in the z-direction, which leads to the following equation:
2 H Z x 2 = μ 0 μ r ( j ω σ ω 2 ε ) H z = k 2 H Z
where k is the propagation constant, calculated as:
k = ( 1 + j ) ω σ μ 0 μ r 2
b is the thickness of the silicon steel sheet; ω is the excitation signal angular frequency; σ is the core conductivity; μ 0 is the vacuum permeability; μ 0 = 4 π × 10 7 H/m; and μ r is the relative permeability.
Then, the magnetic field strength at the surface of the core is calculated as:
H = k Φ 2 μ 0 μ r h cotan h ( k b 2 )
where H denotes the magnetic field strength at the surface of the core; the width of the stack is h ; and Φ denotes the magnetic flux through a cross-sectional area of b h . Therefore, the space-averaged magnetic flux density B in the z-direction is related to the magnetic flux through the cross-sectional area; i.e.,
B ¯ = k F e Φ b h
k F e is the core stacking factor, k F e = b / ( b + Δ ) . The complex permeability of the core stack is the ratio of the spatially averaged magnetic flux density to the surface magnetic field strength H ; i.e.,
μ = B ¯ H = k F e μ r tan h ( k b 2 ) k b 2
μ i is the initial magnetic permeability, where Δ is the thickness of the insulation layer. Where the model relative permeability μ r is close to the initial permeability μ i of the core, μ i is defined as the relative permeability at zero magnetic field strength; i.e.,
μ r μ i = 1 μ 0 lim H 0 B H
μ = B ¯ H = k F e μ i tan h ( k b 2 ) k b 2
According to the simulation model, the relative complex permeability of the silicon steel sheet’s real part μ , imaginary part μ , amplitude μ and the core loss angle θ by the frequency influence curve, and hysteresis loop measurement of the curve is compared with the curve shown in Figure 2; the simulation model used in the specific parameters is shown in Table 1.
Four situations are analyzed in detail as follows:
(a)
μ f frequency response curve;
(b)
μ f frequency response curve;
(c)
μ f frequency response curve;
(d)
θ f frequency response curve.
From the simulation results in Figure 2, the relative complex permeability real part μ , imaginary part μ , magnitude μ , and core loss angle θ are basically the same as the curve model derived from the hysteresis loop measurements, which verifies the feasibility of calculating the complex permeability of the iron core through the structural parameters, and provides the corresponding parameter support for the subsequent simulation model of the transformer error.

4. No-Load Error Frequency Characterization of Standard Voltage Transformers

The errors in standard voltage transformers include ratio errors and phase errors. The ratio error refers to the discrepancy caused by the difference between the actual transformation ratio and the rated transformation ratio during measurement. Angular difference is between the primary and secondary voltage phases [27,28].
According to the standard voltage transformer equivalent circuit diagram shown in Figure 1, the difference between its secondary voltage and primary voltage can be written as:
Δ U ( ω ) = U 2 ( ω ) U 1 ( ω ) = I 2 ( ω ) ( Z 1 ( ω ) + Z 2 ( ω ) ) I m ( ω ) Z m ( ω )
Then, the error of the standard voltage transformer is:
Δ U ( ω ) U 1 ( ω ) = Z 1 ( ω ) Z 1 ( ω ) + Z m ( ω ) Z 1 ( ω ) + Z 2 ( ω ) Z 1 ( ω ) + Z 2 ( ω ) + Z L ( ω )
According to the definition of transformer error, the equations for the no-load ratio error and angular error are, respectively:
ε 0 ( ω ) = U 2 ( ω ) U 1 ( ω ) 1 = Z m ( ω ) Z m ( ω ) + Z l ( ω ) 1
δ 0 ( ω ) = U 1 ( ω ) U 2 ( ω ) = ( Z 1 ( ω ) + Z m ( ω ) ) Z m ( ω )
The standard voltage transformer is an electromagnetic voltage ratio standard, typically operated with no load or nearly zero load on the secondary side. Therefore, this paper focuses on discussing the no-load error characteristics of the standard voltage transformer.
In this paper we consider a 10 kV standard voltage transformer as the specimen, with a rated voltage of 10/0.1 kV. The iron core material is a silicon steel sheet B30P105, with a cross-sectional area of S = 50 cm2, an average magnetic path length of 78 cm, and a turns ratio of 9000/90. Firstly, the leakage inductance and DC resistance of the primary winding of the transformer are calculated based on the structural parameters.
When a direct current (DC) flows through the coil, the resulting losses can be considered as DC losses. The corresponding DC resistance is determined by the material and geometric structure of the coil [29,30], and can be calculated using Equation (20).
R 1 = ρ l 1 S
In the equation, R 1 represents the DC resistance of the coil, ρ denotes the resistivity of the conductor, l 1 is the length of the primary winding conductor, and S represents the cross-sectional area of the conductor.
In practical design, the leakage inductance of the primary winding of a transformer can be estimated using an analytical method, with the calculation equation given by Equation (21):
L 1 = μ 0 N 1 2 p h ( Δ + d 1 + d 2 3 )
In the equation, N 1 represents the number of turns in the primary winding, p denotes the average turn length of the winding, h is the height of the winding, Δ , d 1 , and d 2 represent the insulation thickness between the primary and secondary windings, the thickness of the primary winding, and the thickness of the secondary winding, respectively.
The error equations for the standard voltage transformer are given by Equations (18) and (19). Therefore, by obtaining the parameters of the excitation impedance, we can calculate the ratio error and angular angle error of the standard voltage transformer.
In the calculation of transformer parameters, the value of excitation impedance is related to the real and imaginary parts of the complex magnetic permeability, as shown in Equations (22) and (23).
L m = N 1 2 μ S l
R m = ω N 1 2 μ S l
After calculation, the values of excitation impedance at frequencies ranging from 20 Hz to 3000 Hz are obtained, and the frequency response curve of the excitation impedance is plotted as shown in Figure 3.
As the frequency increases, the eddy current effect enhances, resulting in a decrease in the excitation inductance in the transformer coil. Additionally, at wide frequency ranges, the rate of decrease in the imaginary part of the complex magnetic permeability exceeds the rate of increase in frequency. Consequently, the excitation impedance decreases with the increase in frequency.
According to R 1 , L 1 , R m , and L m , the corresponding equation, brought to Equations (18) and (19), can be calculated in the standard voltage transformer in the 20 Hz to 3000 Hz range, under the ratio of the angle difference; the simulation calculation results are shown in Table 2.
Based on the simulation values, the frequency response curves of the standard voltage transformer ratio difference and angular difference at 20–3000 Hz can be plotted, as shown in Figure 4.
According to the national standards, for the 10 kV electromagnetic standard voltage transformer studied in this paper, during normal operation, the ratio difference should be within ±0.05%, and the angular difference should be within 2′.
Based on the analysis of Figure 4, it is evident that when the frequency of the standard voltage transformer is between 20 Hz and 700 Hz, the ratio error remains within ±0.05%, and the angular error is within 2 min, indicating accurate measurement results. At 700 Hz, the ratio error is −0.042%, and the angular error is −1.997′. However, when the frequency exceeds 700 Hz, the ratio and angular errors no longer meet the required accuracy, demonstrating that the standard voltage transformer cannot provide accurate measurements for high-frequency voltages. Additionally, according to the error calculation equation, the design of the standard voltage transformer can be optimized by compensating the number of turns or altering the cross-sectional area to obtain a more favorable error curve.

5. The Impact of Altering Core Parameters on the Frequency Characteristics of No-Load Error

In actual operating conditions, variations in parameters may occur due to differences in manufacturing methods, winding processes, and materials used for standard voltage transformers. Analysis of Equations (18)–(23) reveals that the number of turns and cross-sectional area of the standard voltage transformer can affect the no-load error. To investigate the impact of changing these parameters on the ratio error and angular error, simulations were conducted. The simulation results are presented in Figure 5.
Based on the simulation results shown in Figure 5, it is observed that reducing the number of turns in the primary winding (N1) decreases both the no-load ratio difference and angular error of the standard voltage transformer within the 20 Hz to 3000 Hz frequency range, with the changes being particularly significant. Increasing the core cross-sectional area (S) also reduces the no-load ratio difference over the same frequency range, while the angular error exhibits minimal variation. However, a reduction in angular error becomes noticeable when the frequency exceeds 1000 Hz. Therefore, in the design of standard voltage transformers, appropriately reducing the number of turns in the primary winding or increasing the core cross-sectional area can enhance the transformer’s performance across a wide frequency range.

6. Conclusions

  • The complex permeability can characterize the magnetization of silicon steel sheets in a varying magnetic field. Based on the corresponding equations, the frequency response curves of the real and imaginary parts of the complex permeability, as well as the core loss angle, were plotted. These results are consistent with conclusions drawn from hysteresis loop measurements, providing the necessary parameter support for further research into the frequency characteristics of the excitation impedance of standard voltage transformers.
  • The no-load error of a standard voltage transformer is related to the primary leakage reactance and excitation impedance. The primary leakage reactance can be determined based on the structural parameters of the transformer, while the excitation impedance is associated with the complex permeability. By calculating the excitation impedance using the relevant equations and simulating the frequency response curve of the excitation impedance, the process of obtaining the no-load error values for the transformer within the 20–3000 Hz frequency range is facilitated.
  • The no-load error of a standard voltage transformer can be divided into ratio error and angular error. Calculation results show that within the frequency range of 20 Hz to 700 Hz, the influence of the ratio error is less than 0.05%, and the influence of the angular error is less than 2′. Based on the error limit values for voltage transformers used in measurement, it can be concluded that by fully considering the effects of core magnetic flux density and frequency during design, the no-load error of standard voltage transformers can meet the requirements of 0.05 class or lower error limits within the 20 Hz to 700 Hz range, but when the frequency exceeds 700 Hz, the error accuracy will not meet the requirements, so in order to realize a standard voltage transformer which can meet the error limit at a wide range of frequencies, further experiments and simulations are required.
  • The derivation of the error equation shows the correlation between the no-load error value of the standard voltage transformer and the number of turns of the iron core, as well as the cross-sectional area, and the simulation results show that reducing the number of turns of the primary winding or increasing the cross-sectional area of the iron core will reduce the error value; this conclusion provides a corresponding support for the design of the standard voltage transformer under broadband frequencies, and provides a certain reference for the manufacturers in the design of standard voltage transformers for civilian use; and, at the same time, the influence of the error factors are discussed, and the proposed number of turns and cross-sectional area for the study of other types of voltage transformer errors provide a corresponding value.

Author Contributions

Conceptualization, L.W. and Z.L.; methodology, L.W. and Z.L.; software, L.W. and H.L.; validation, L.W. and H.L.; investigation, L.W. and F.Z.; writing—original draft preparation, L.W.; writing—review and editing, L.W. and F.Z.; project administration, Y.D.; funding acquisition, Y.D. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported in part by the National Key R&D Program of China (2022YFB2403800) Key Technologies of Multi-Parameter Wide-Area Sensing and Measurement for Massive Electricity Users, and in part by the National Natural Science Foundation of China (52277012).

Data Availability Statement

Data are contained within the article.

Acknowledgments

The authors would like to thank all reviewers for their helpful comments and suggestions regarding this paper.

Conflicts of Interest

Author Heping Lu, Feng Zhou and Yinglong Diao were employed by the company China Electric Power Research Institute. 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.

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Figure 1. Equivalent circuit model of standard voltage transformer.
Figure 1. Equivalent circuit model of standard voltage transformer.
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Figure 2. Frequency response curves for 4 parameters. (a) μ f frequency response curve; (b) μ f frequency response curve; (c) μ f frequency response curve; (d) θ f frequency response curve.
Figure 2. Frequency response curves for 4 parameters. (a) μ f frequency response curve; (b) μ f frequency response curve; (c) μ f frequency response curve; (d) θ f frequency response curve.
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Figure 3. Excitation impedance frequency response curves. (a) R m f frequency response curve; (b) L m f frequency response curve.
Figure 3. Excitation impedance frequency response curves. (a) R m f frequency response curve; (b) L m f frequency response curve.
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Figure 4. Error response curve of standard voltage transformer at 20 Hz to 3000 Hz. (a) Ratio difference frequency response curve; (b) angular difference frequency response curve.
Figure 4. Error response curve of standard voltage transformer at 20 Hz to 3000 Hz. (a) Ratio difference frequency response curve; (b) angular difference frequency response curve.
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Figure 5. Frequency response curve of the error corresponding to changing N1 and S. (a) Effect of changing N1 on ratio difference; (b) effect of changing N1 on angular difference; (c) effect of changing the S on ratio difference; (d) effect of changing the S on angular difference.
Figure 5. Frequency response curve of the error corresponding to changing N1 and S. (a) Effect of changing N1 on ratio difference; (b) effect of changing N1 on angular difference; (c) effect of changing the S on ratio difference; (d) effect of changing the S on angular difference.
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Table 1. Iron core parameters.
Table 1. Iron core parameters.
SymbolQuantityNumerical Value
b core thickness0.0625/m
Δ insulation thickness1.5/mm
ρ core resistivity1.29 × 10−6/(Ω·m)
σcore conductivity7.7 × 105/(S·m−1)
μ i relative permeability of core1.7 × 106/H·m−1
N 1 primary measured winding turns9000
l 1 flux path length0.78/m
d 1 thickness of primary side winding0.62/mm
d 2 secondary measured winding thickness13.58/mm
h winding height620/mm
p the average turn length100/mm
μ 0 vacuum permeability1.26 × 10−6/(H·m−1)
Table 2. Calculated values of ratio difference and angle difference at 20 Hz to 3000 Hz.
Table 2. Calculated values of ratio difference and angle difference at 20 Hz to 3000 Hz.
Frequencyε0δ0Frequencyε0δ0
/Hz/(%)/(′)/Hz/(%)/(′)
20−0.0230.5071450−0.110−4.628
30−0.0230.4711500−0.116−4.785
40−0.0230.4331550−0.123−4.939
50−0.0240.3961600−0.130−5.091
100−0.0240.2071650−0.137−5.235
150−0.0250.0181700−0.145−5.382
200−0.026−0.1691750−0.153−5.523
250−0.027−0.3671800−0.161−5.662
300−0.028−0.5451850−0.169−5.791
350−0.029−0.7321900−0.177−5.923
400−0.030−0.9191950−0.186−6.045
450−0.031−1.1052000−0.195−6.165
500−0.033−1.2912050−0.204−6.282
550−0.035−1.4772100−0.213−6.391
600−0.037−1.6622150−0.223−6.495
650−0.039−1.8472200−0.232−6.595
700−0.042−1.9972250−0.242−6.691
750−0.045−2.2132300−0.252−6.775
800−0.048−2.3952350−0.262−6.866
850−0.051−2.5762400−0.272−6.942
900−0.054−2.7562450−0.282−7.011
950−0.058−2.9352500−0.293−7.075
1000−0.062−3.1122550−0.303−7.135
1050−0.066−3.2882600−0.314−7.191
1100−0.071−3.4622650−0.325−7.242
1150−0.076−3.6352700−0.337−7.289
1200−0.081−3.8062750−0.349−7.331
1250−0.086−3.9752800−0.363−7.368
1300−0.092−4.1422850−0.377−7.399
1350−0.097−4.3062900−0.407−7.424
1400−0.103−4.4693000−0.436−7.459
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MDPI and ACS Style

Wang, L.; Li, Z.; Lu, H.; Zhou, F.; Diao, Y. Modeling and Simulation of Wide-Frequency Characteristics of Electromagnetic Standard Voltage Transformer. Electronics 2024, 13, 4206. https://doi.org/10.3390/electronics13214206

AMA Style

Wang L, Li Z, Lu H, Zhou F, Diao Y. Modeling and Simulation of Wide-Frequency Characteristics of Electromagnetic Standard Voltage Transformer. Electronics. 2024; 13(21):4206. https://doi.org/10.3390/electronics13214206

Chicago/Turabian Style

Wang, Lewei, Zhenhua Li, Heping Lu, Feng Zhou, and Yinglong Diao. 2024. "Modeling and Simulation of Wide-Frequency Characteristics of Electromagnetic Standard Voltage Transformer" Electronics 13, no. 21: 4206. https://doi.org/10.3390/electronics13214206

APA Style

Wang, L., Li, Z., Lu, H., Zhou, F., & Diao, Y. (2024). Modeling and Simulation of Wide-Frequency Characteristics of Electromagnetic Standard Voltage Transformer. Electronics, 13(21), 4206. https://doi.org/10.3390/electronics13214206

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