- Open Access
Modeling and simulation of air-gapped current transformer based on Preisach Theory
© The Author(s) 2017
Received: 14 December 2016
Accepted: 20 March 2017
Published: 4 April 2017
Current Transformer (CT) modeling, by which CT’s characteristics can be studied has a significant importance in CT selection and design. In spite of numerous studies about closed-core CT model, only a few works have been conducted on air-gapped ones with the following problems: models of which required data is easily-accessible, have poor simulations of magnetization process; on the contrary, models which have satisfactory simulations, are hard to be established because of the hard-to-get required data. Therefore, based on Preisach Theory, a novel air-gapped CT model is deduced from the closed core CT model. The proposed model is accurate and can be established easily. The saturation and remanence properties of closed-core CT and air-gapped CT are simulated and compared.
Current transformer is a bridge between the primary and secondary equipment in power system, utilized for transferring large currents proportionally to currents with small amplitudes for secondary measuring and monitoring equipment and relay protective equipment. In case of a short-circuit incident, as the power system capacity and the voltage level increase, the short-circuit current will reach tens of times or even hundreds of times of CT rated current, leading to CT saturation. In that situation, CT cannot transfer the primary current correctly, which causes mis-operation or mal-operation of protection equipment and greater errors of fault location equipment. In response to this, manufacturers open a small air gap on the core of CT, which is about one-thousandth of the total length of the magnetic circuit. Among the CTs that have been widely put into use, the PR-type and the TPY-level of the TP-type are those who have air-gaps in their cores. The air-gapped CT can guarantee that the errors are within the permissible range of the relay protection in the steady state and the transient state. Establishing the simulation model of air-gapped CT and studying its transient characteristics will help to understand the role of air gap more accurately, and to guide the selection and design of air-gapped CT.
Currently, there are large number of papers on the closed-core CT modeling. The advantages and disadvantages of different models and their application ranges are introduced in detail in . However, there are only a few studies have been accomplished on modeling air-gapped CT. In , the real-time magnetization curve is generated by hysteresis loop compressing method, and the real-time excitation inductance is calculated by using the arc tangent function to fit the limiting hysteresis loop, in which way the air-gapped CT model is established on the PSCAD/EMTDC platform. This model can simulate the saturation characteristics of air-gapped CT, but the simulation of the core is not accurate enough. In , the air-gapped CT model is established based on Jiles-Atherton (JA) Theory. This model can accurately simulate the effect of air gap on the magnetization process. However, the parameters such as regional coupling coefficient, thermal coefficient, regional flexibility, direction coefficient, which are required for the JA theoretical model, are often hard to accurately obtained and can only be approximated. Theoretical model of air-gapped CT given in  is established by deducing the relationship between the equivalent excitation inductance of an air-gapped CT and that of a closed-core CT, using principles of circuits and magnetic circuits. The model can be used to deduce the performance of air-gapped CT, to demonstrate the role of air gap, but cannot give the specific value of the excitation inductance; hence, it cannot be used for simulation. According to , using the finite element analysis software ANSYS to calculate the real-time excitation inductance, CT equivalent equation is solved for numerical solution , but the process is complex, and it is not conducive to simulation either.
Preisach Theory, which is a phenomenological approach to explain the magnetization process , can fit very well with the experimental data. Numerous papers and data have testified the feasibility and accuracy of Preisach Theory [7–11]. A TPY-level model is proposed in , which is complicated and needs lots of experimental data due to the involving with identification and calculation of Everett function. Based on Preisach magnetization Theory, an air-gapped CT model is proposed in this paper, which is deduced from the closed-core CT model. The model can correctly simulate the magnetization process of air-gapped core, and the data needed for modeling are easy to be obtained. Model parameters can be set arbitrarily, and simulation can be performed easily. The saturation and remanence characteristics of the air-gapped CT model and the closed-core CT model of the same structure and parameters are compared in simulation.
2.1 Introduction to Preisach magnetization theory
Preisach magnetization Theory is proposed by the German physicist F. Preisach in 1935. After continuous improving and perfecting, it has gradually formed a guiding theory to the ferromagnetic material modeling [8, 12–15].
α < β, μ(α, β) = 0;
if α > H sat or β < −H sat , μ(α, β) = 0
Where, H sat is positive saturation field strength;
μ(α, β) = μ(−β, −α)
The changes of magnetic field strength H influence the value of flux density B in the following way: when H is greater than H sat , S + covers the entire triangle area, at which time the core is in a positive saturation state. When H is smaller than − H sat , S − , covers the entire triangle area, at which time the core is in a negative saturation state. When H decreases, triangle ABC will be swept down by a straight line perpendicular to the β-axis, β = H, then all the magnetic dipoles whose β value is greater than H will enter the negative saturation state, so the swept area is covered by S −. When H increases, triangle ABC will be swept down by a straight line perpendicular to the α-axis, α = H, then all the magnetic dipoles whose α value is smaller than H will enter the positive saturation state, so the swept area is covered by S +.
The alternating sequence of the magnetization’s local extrema is stored in a descending order and updated in stack form. Formulas (3, 4, 5, 6, 7, 8 and 9) are used to calculate the flux density when the core is not saturated, and when it is saturated, magnetization trajectory will turn into single valued, so it is easy to calculate using curve fitting method.
In conclusion, according to the Preisach Theory, CT core model can be established accurately by measuring the descending branch of limiting hysteresis loop and positive saturation magnetization curve, when structure of CT’s core is fixed and the outside temperature does not change obviously.
2.2 Modeling of closed-core CT based on Preisach theory
F s is the sampling frequency. Equation (12) is called the solving equation of CT. Since the magnetic flux density B increases monotonously with the exciting current, the solving equation can be solved in the following way: assume that the flux density and the exciting current at time instant k are the same as at time instant k − 1, which means substituting i m (k) = i m (k − 1) and B(k) = B(k − 1) to the left side of (12), then calculate the value of the right side, compare it with the left, if left < right, increase i m (k), otherwise decrease i m (k), till left = right. The solving process is joint with core model, while the core model is air-gapped, air-gapped CT model is got, otherwise closed-core CT model is established. Core model based on Preisach Theory is established as follows.
2.3 Modeling of air-gapped CT based on Preisach Theory
In Fig. 9, waveforms a, b, and c are the descending branches of limiting hysteresis loop of the core with air gap ratios of 0.001, 0.002, and 0.003, respectively. As can be seen in Fig. 9, the longer the air gap is, the greater the saturation magnetic field strength will be. In this paper, the iron core model is established by selecting the data of the core with the air gap ratio of 0.001.
3.1 Characteristics of saturation
The short dashed line in Fig. 12 is the curve of flux density in Tesla which its axis is shown on the right side. The solid line and the long dashed line are, respectively, primary and secondary current respectively in Amperes which their axis are depicted on the left side. It can be seen that the closed-core CT is saturated. The course of saturation can be analyzed from Figs. 12 and 13. In the first cycle after the fault, since the current transformer core has no remanence, the magnetic flux density increases from zero, and does not reach the saturation threshold in the first cycle, so the transformer is not saturated. Starting from the second cycle, due to the role of remanence caused by the first cycle, flux density gradually reaches the saturation threshold and exceed, so the core gets saturated. When primary current crosses zero and increases in reverse, the flux density decreases gradually until saturation is removed. The coordinate of the saturation starting point (0.15, 1.787) for the third cycle is marked in Fig. 12.
Since the core material and structure of both current transformer model are the same, so the critical saturation flux densities are also equal. As can be seen from Fig. 13, the core magnetic flux density does not reach a critical saturation value of 1.787 T at all time, and the magnetic flux density falls faster in the falling portion of each cycle than that of the closed-core CT, thereby causing the rising portion to always fail in reaching the saturation threshold. The magnetic flux density in the air-gapped CT model reaches a maximum value of 1.657 T after the second cycle of the fault, and then the amplitude of the flux density gradually becomes smaller due to the decay of the DC component, and the transformer does not saturate. Even though the air-gapped CT shown in Fig. 13 suppresses the saturation due to the existence of the air gap, it also has the larger transmission error. This is because of the fact that the equivalent inductance of air-gapped core is smaller, resulting in fault current having a larger diversion in the excitation branch.
4.1 Characteristics of remanence
Remanence properties are divided into two aspects. The first one is the core remanence which affects on saturation during fault incident, and the second one is the elimination of the remanence during steady-state after fault clearance.
For the first aspect, the following four conditions have been simulated and compared: a) 50% of the positive remanence, magnetic flux generated at fault occurring time is positive; b) 50% of the positive remanence, magnetic flux generated at fault occurring time is negative; c) 50% of the negative remanence, magnetic flux generated at fault occurring time is positive; d) 50% of the negative remanence, magnetic flux generated at fault occurring time is negative.
As can be seen from Figs. 14, 15, 16 and 17, since the remanence level is low, ± 50% of the remanence is close to zero; thereforethe air-gapped CT does not saturate, regardless of the polarity of magnetic flux generated at fault occurring time same with remanence or not.
The closed-core CT is saturated when the remanence polarity is the same with the magnetic flux polarity of fault current at the moment of fault, and is saturated faster and deeper than in the case of zero remanence in Fig. 12, but is not saturated when the remanence polarity is opposite to the polarity of magnetic flux generated at fault occurring time. Comparing the two types of CT’s flux density - time curves, it can be found that, in each case, the trend of the two are basically the same, but closed-core CT’s flux density changes faster, can quickly reach the positive or negative saturation threshold, While the air-gapped core CT changes slower, with a smaller magnitude. This is because of the fact that the magnetization curve of the iron core with air gap becomes narrow and to reach the same magnetic flux density will require a larger excitation current. In other words, the iron core of the air-gapped CT is harder to be magnetized.
In Fig. 18, the dotted line and the solid line are changes of magnetic flux in the core of the closed-core CT and the air-gapped CT, respectively. According to Fig. 18, for air-gapped CT, the remanence of iron core decreases continuously with the increase of running time, and decreases to 0.127 T at 0.5 s, which is about 7.1% of the saturation magnetic flux density; and for closed-core CT, the remanence is stable after the fault is removed, the minimum value of which is 1.312 T, which is much larger than the air-gapped CT. When the subsequent fault occurs, if magnetic flux generated at fault occurring time is positive, it superimposes on the initial value of remanence, so the closed-core CT saturates easily. In the same condition, air-gapped CT core magnetic flux density will increase from the smaller value, 0.127 T, more difficult to reach saturation. This phenomenon has been verified in the simulations below, as shown in Fig. 14.
Figure 20a shows the magnetization curve of whole process of air-gapped CT. The dotted box is the trajectory of the ending part of simulation and the solid box is the trajectory of the beginning part of simulation. Enlarging the ending part gets Fig. 20b. According to Fig. 20, the air-gapped CT’s hysteresis loops are narrow, compared to the closed-core one. When the line fault is cleared, the core magnetic flux density continues to decline in an approximately spiral way, does not form a stable hysteresis loop. The core remanence value is gradually approaching zero. It can also be seen that the remanence of air-gapped CT can be gradually digested and, after the clearance it becomes lower than a certain level, usually 10% of saturation flux density.
Based on the Preisach core magnetization theory, the air-gapped core CT model is established, in which the data required for the core modeling is the descending branch of limiting hysteresis loop. The data can be obtained by experimental measurement, or from the closed-core CT with same core structure, shape and material. This model can correctly simulate the magnetization process of the air-gapped core, and the parameters can be set arbitrarily for simulation. The saturation characteristics and remanence characteristics of closed-core CT model and air-gapped CT model with same core structure, shape, material and parameters were simulated and compared. The results indicated the effects of air gap on CT performance, and proved the proposed model. The proposed modeling method can be utilized in CT selection and design, especially in CT design to analyze the necessary length of air gap in iron core. The correctness of the proposed method is based on the experimental validation of many existing papers and the theoretical deducing and simulation of this paper, so the expectation of this method is, if possible, conducting an experiment with CT manufactures to measure the hysteresis trajectory of an iron core before and after opening an air gap in it. As a result, the proposed method can be validated in a further step.
This work was supported in part by the National Natural Science Foundation of China (Grant No. 51120175001), and in part by Science and Technology Project of State Grid Corporation of China (GWKJ2013-005).
Ya Hui Wu investigated the research status of air-gapped TA modeling, and established the proposed air-gapped TA model, then tested it with simulation and drafted the manuscript. Xin Zhou Dong and Sohrab Mirsaeidi participated in typesetting and revision of the manuscript. All authors read and approved the final manuscript.
Ya Hui Wu(1988-), male, M. Sc. candidate in the department of electrical engineering, Tsinghua University. His research interest is on TA modeling and reconstruction of saturated secondary current.
Xin Zhou Dong(1963-), male, Phd. and Professor, Fellow of IEEE. Major in protective relaying, fault location, and application of wavelet transformer in power systems
Sohrab Mirsaeidi(1987), male, Phd. and post-doctor of department of electrical engineering, Tsinghua University. Major in smart grids, renewable energy.
The authors declare that they have no competing interests.
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- Tziouvaras, D. A., McLaren, P., Alexander, G., et al. (2000). Mathematical models for current, voltage, and coupling capacitor voltage transformers[J]. IEEE Transactions on Power Delivery, 15(1), 62–72.View ArticleGoogle Scholar
- Huang, L., Yang, W. X., & Zhang, X. (2010). Modeling and simulation of current transformer with air-gap based on PSCAD/EMTDC[J]. Power system protection and control, 38(18), 178–182.Google Scholar
- Muthumuni, D., McLaren, P. G., Chandrasena, W., et al. (2001). Simulation model of an air gapped current transformer[C]//Power Engineering Society Winter Meeting, 2001. IEEE. IEEE, 2, 705–709.Google Scholar
- Yang, P. (2008). Research on physical mechanism and test method of heavy current transformer[D] (M. S. thesis). Beijing: Tsinghua University.Google Scholar
- Zhang, L. (2013). Research on heavy current transformer’s optimization and its simulation[D] (M. S. thesis). Beijing: Tsinghua University.Google Scholar
- Mayergoyz, ID. (2003) Mathematical models of hysteresis and their applications[M]. New York: Academic Press.Google Scholar
- Coulson, M. A., Slater, R. D., & Simpson, R. R. S. (1977). Representation of magnetic characteristic, including hysteresis, using Preisach’s theory. In Proceedings of the Institution of Electrical Engineers (Vol. 124(10), pp. 895–898). IET Digital Library.Google Scholar
- Naidu, S. R. (1990). Simulation of the hysteresis phenomenon using Preisach’s theory[J]. IEE Proceedings A-Physical Science, Measurement and Instrumentation, Management and Education, 137(2), 73–79.View ArticleGoogle Scholar
- Rezaei-Zare, A., Iravani, R., Sanaye-Pasand, M., et al. (2008). An accurate current transformer model based on Preisach theory for the analysis of electromagnetic transients[J]. IEEE Transactions on Power Delivery, 23(1), 233–242.View ArticleGoogle Scholar
- Matussek, R, Dzienis, C, Blumschein, J, et al. (2014). Current transformer model with hysteresis for improving the protection response in electrical transmission systems[C]//Journal of Physics: Conference Series. IOP Publishing, 570(6): 062001.Google Scholar
- Eichler, J., Novák, M., & Košek, M. (2016). Implementation of the first order reversal curve method for identification of weight function in Preisach model for ferromagnetics. In ELEKTRO (Vol. 2016, pp. 602–607).Google Scholar
- Wiesen, K., & Charap, S. H. (1988). A better scalar Preisach algorithm [J]. IEEE Transactions on Magnetics, 24(6), 2491–2493.View ArticleGoogle Scholar
- Cardelli, E., Torre, E. D., & Tellini, B. (2000). Direct and inverse Preisach modeling of soft materials[J]. IEEE Transactions on Magnetics, 36(4), 1267–1271.View ArticleGoogle Scholar
- Bertotti, G. (1992). Dynamic generalization of the scalar Preisach model of hysteresis[J]. IEEE Transactions on Magnetics, 28(5), 2599–2601.View ArticleGoogle Scholar
- Cardelli, E., Fiorucci, L., & Della, T. E. (2001). Identification of the Preisach probability functions for soft magnetic materials[J]. IEEE Transactions on Magnetics, 37(5), 3366–3369.View ArticleGoogle Scholar
- Zhang, X., Wang, Z., & Xu, C. (2005). Preisach theory and its application to magnetization modeling of magnetic core[J]. High Voltage Engineering, 31(9), 14–17.Google Scholar