Startseite Modelling of magnetostriction of transformer magnetic core for vibration analysis
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Modelling of magnetostriction of transformer magnetic core for vibration analysis

  • Janis Marks EMAIL logo und Sandra Vitolina
Veröffentlicht/Copyright: 29. Dezember 2017
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Open Physics
Aus der Zeitschrift Open Physics Band 15 Heft 1

Abstract

Magnetostriction is a phenomenon occurring in transformer core in normal operation mode. Yet in time, it can cause the delamination of magnetic core resulting in higher level of vibrations that are measured on the surface of transformer tank during diagnostic tests. The aim of this paper is to create a model for evaluating elastic deformations in magnetic core that can be used for power transformers with intensive vibrations in order to eliminate magnetostriction as a their cause. Description of the developed model in Matlab and COMSOL software is provided including restrictions concerning geometry and properties of materials, and the results of performed research on magnetic core anisotropy are provided. As a case study modelling of magnetostriction for 5-legged 200 MVA power transformer with the rated voltage of 13.8/137kV is conducted, based on which comparative analysis of vibration levels and elastic deformations is performed.

Keywords: magnetostriction; magnetic cores; computer modeling and simulation; vibration measurement; magnetoelectric devices
PACS: 07.05.Tp; 07.10.-h; 75.80.+q; 85.70.-w; 85.80.Jm

1 Introduction

The mechanical condition of windings and magnetic core of power transformers can be determined by using vibration diagnostics. This process is performed for loaded transformer or in a no-load operating mode by placing vibration accelerometers on the surface of power transformer tank [1].

In Latvian power system, there are three different variants of performing mechanical diagnostics of large power transformers: in no-load operation mode, at 50% and at 100% of full rated power. The sensors do not save harmonic analysis; they obtain and save the total values of vibrations. If within the received data, there are vibration values that exceed the provided limits: displacement – 100 μm, velocity – 20 mm/s, acceleration – 10 m/s2 more detailed analysis is required.

With this diagnosis methodology, it is possible to obtain robust information about the power transformer and discover, if a relatively large mechanical defect has occurred. However, there are no following actions and procedures advised in the case of increased vibration values.

Therefore, there is a necessity for a different diagnostic approach of large power transformer mechanical fault detection to improve result accuracy and reliability. The aim of this paper is to develop a simulation model for transformers with high vibration level to determine if magnetostriction process is the cause for such vibrations. Authors have presented the results of this simulation model at international symposium [2].

2 Magnetostriction in Magnetic Core

Magnetostriction is a property of ferromagnetic materials that changes their geometric dimensions when exposed to magnetic field [3]. It is because these ferromagnetic materials are composed of small magnetic domains that have their unique magnetic orientation, placement and size.

Generally, magnetic orientation is random throughout the ferromagnetic material, when there is no magnetic field passing through. Figure 1 a) shows this situation. The color coding corresponds to a correlation with an upward direction.

Figure 1 a) ferromagnetic material magnetic domain individual orientation with no external magnetic field; b) magnetostriction process in ferromagnetic material domains; c) resulting outcome of magnetostriction process in ferromagnetic material domains
Figure 1

a) ferromagnetic material magnetic domain individual orientation with no external magnetic field; b) magnetostriction process in ferromagnetic material domains; c) resulting outcome of magnetostriction process in ferromagnetic material domains

However, when an external magnetic field passes through, the magnetic domains react to it and partially rearrange their sizes [4]. With this process, the domains with matching magnetic orientation with the external magnetic field grow larger by changing the materials magnetic orientation on their individual surfaces. Thus, the magnetic domains, with individual magnetic orientation pointing against the external magnetic field become smaller [4]. This process is visualised in Figure 1 b), where areas color coded in grey, represent the fractions of the non-aligning magnetic domains with the external magnetic field that will change their individual magnetic orientation and separate from their original magnetic domains. Afterwards, these grey regions will join their more aligned neighbouring magnetic domains.

The result of this process is visualised in Figure 1 c). The magnetic domains have changed their original shape. Due to this, the shape of the entire ferromagnetic body has changed as well.

In the case of large power transformers, magnetic core is made of sheet steel, which creates a complex three-dimensional system consisting of a ferromagnetic material since the largest part of magnetic flux concentrates there [5]. This causes elastic deformations and vibrations of the magnetic core that have a sinusoidal form since the externally caused magnetic field is also sinusoidal. This process over a period can cause delamination since the elastic deformations are continuous throughout the operating period of power transformer. Furthermore, the vibration amplitudes may increase since this process can slowly reduce the mechanical resistance of the transformer magnetic core.

3 Magnetostriction Model Description

In order to determine these elastic deformations, it is necessary to know characteristics of the magnetic field inside magnetic core and magnetostriction curve of it. In this paper, magnetostriction curve is used as a function L = f(B) that expresses the elastic deformation, depending on magnetic induction [6]. This magnetostriction curve differs for each material since the magnetic domains in multiple ferromagnetic materials can have varying sizes and can resist to external magnetic field differently.

Since the model uses two software programs, it has two distinct subsections:

  • The first consists of a three-dimensional model created in COMSOL software to calculate magnetic induction values within the magnetic core, windings and the surrounding area;

  • The second is also a three-dimensional model created in Matlab software for the calculation of elastic deformations.

The first subsection in COMSOL begins with the creation of model geometry and the assignment of a material to every created domain. Windings are made of copper, magnetic core from steel but the surrounding area from transformer oil. Each material used in the model has defined physical characteristics and parameters. Afterwards, it is necessary to generate a finite element mesh. Then the program calculates the values of magnetic induction in all the coordinates of finite element mesh intersections within a given time intervals in a provided duration of time. A built-in calculation system carries out the computations, which contains Maxwell equations [7].

Afterwards, the model exports obtained results to MS Excel in the form of a table and then imports in Matlab where RMS values of magnetic induction are calculated. The program creates a three-dimensional matrix that represents the geometrical structure of transformer model. Within it, it is assumed that every element is 1 cm3. The model uses approximation to obtain the RMS values of magnetic induction where they are unknown. A modified three-dimensional nearest neighbour problem (NNP) algorithm carries out this approximation [8].

These results from Matlab subsection allow determining whether magnetostriction is the cause of these vibration epicentres.

The input parameters of the proposed magnetostriction model have the following aspects:

  • The geometric dimensions of transformer tank, windings and magnetic core;

  • The materials for different parts and their physical characteristics;

  • Frequency of the voltage, primary voltage, secondary voltage, primary winding rated current, secondary winding rated current and the transformation coefficient;

  • No-load operation mode;

  • Magnetostriction curve function L = f(B) of magnetic core material.

The simulation model has the following restrictions:

  • The magnetic core consists of 10 steel sheets. Each of them is 60 mm thick;

  • The bracings of magnetic core are not considered;

  • The terminals of primary and secondary windings are not considered;

  • Interwinding insulation is not considered;

  • The model functions as an enclosed magnetic system – magnetic field does not exist outside of it.

The result of this magnetostriction model is a visualisation of calculated elastic deformation values within the magnetic core of the transformer.

4 Research on Magnetic Core Anisotropy of Proposed Model

The created three-dimensional model in COMSOL software consists of domains for the magnetic core that are isotropic. Therefore, it is necessary to verify, whether anisotropy would have relative influence on the results of the magnetostriction model since it is present in magnetic cores of actual large power transformers [9].

As verification, two types of magnetic core anisotropy are used. Figures 2 and 3 show their layout.

Figure 2 First case of magnetic core anisotropy
Figure 2

First case of magnetic core anisotropy

Figure 3 Second case of magnetic core anisotropy
Figure 3

Second case of magnetic core anisotropy

The arrows display the direction in magnetic core rods and yokes with lesser magnetic permeability. The first case of magnetic core anisotropy has a characteristic that the anisotropy direction aligns with the direction of the transformer magnetic field. The intersections of the different domains are located at the corners between rods and yokes of transformer magnetic core.

The difference in resulting magnetic field for this layout of anisotropy shows Δ = 0.7119% absolute change. The model obtains this result by comparing the values of magnetic induction in all positions within the Matlab subsection three-dimensional model matrix. Equation (1) shows this calculation,

Δ=∑i=1nabsBbase.n−Bani.nBbase.n⋅100%n(1)

where Bbase – RMS value of magnetic induction with isotropic magnetic core;

Bani – RMS value of magnetic induction with anisotropic magnetic core;

n – total amount of positions in the Matlab subsection of the model.

However, for the second case of magnetic anisotropy, the difference of magnetic field was Δ = 11.90%. This is because the intersections of domains with different directions of anisotropy shifted from the corners of magnetic core towards the rods and had 90° cut angle between rod and yoke domains (see Figure 3).

Therefore, for this anisotropy type of magnetic core, the magnetic field is more concentrated near the inner corners where rods and the yoke connect and there is a winding around the rod. Figure 4 shows this result, where both the a) FEM mesh and b) instantaneous values of magnetic induction are visualised.

Figure 4 a) segment of created FEM mesh in COMSOL software; b) resulting instantaneous values of magnetic induction in magnetic core
Figure 4

a) segment of created FEM mesh in COMSOL software; b) resulting instantaneous values of magnetic induction in magnetic core

Increased instantaneous values of magnetic induction are visualised in red tones (see Figure 4 b)). These positions are the closest segments of the magnetic core to the windings due to the geometry of the magnetic core. Furthermore, the rapidly changing direction of the anisotropy of magnetic permeability contributes to this result since the magnetic field has least resistance in the region.

When taken in consideration that the program calculates this difference by using absolute values, the total magnetic field experiences these differences as a change in placement of the highest magnetic induction values not an overall increase or decrease. Therefore, the conclusion is that isotropic magnetic core is suitable for this magnetostriction model.

5 Case Study

As case study, the authors chose 5-legged large power transformer [10] with primary voltage – 13.8 kV, secondary voltage – 137 kV, primary and secondary rated power – 200 MVA for this paper. For this large power transformer vibration measurement results on tank surface are available in the study [11]. Continued research after a year showed that the values of vibration velocity exceed the given limit of 20 mm/s 2.5 times. However, the values of vibration displacement and acceleration did not exceed limits that indicate necessity for in depth analysis.

This magnetostriction model uses a method proposed by author in [12] for visualization and approximation of vibration results for areas of transformer tank surface where vibration sensors were not installed (see Figure 5). If this visualisation displays vibration amplitudes that exceed the given limits, the model begins the simulation since otherwise there is no necessity to calculate possible mechanical faults.

Figure 5 Result for visualisation of vibration diagnostics data on the transformer tank surface, μm
Figure 5

Result for visualisation of vibration diagnostics data on the transformer tank surface, μm

Such approximation allows determining the possible vibration epicentre regions and their intensity. However, it is not possible to distinguish between vibrations caused by the magnetic core and vibrations caused by transformer windings since the output of the visualisation is the result of a surface not a three-dimensional model. Therefore, there is a necessity for further diagnostics of the magnetic core, which the magnetostriction model carries out.

The first subsection of the magnetostriction model for case study has the following results. Overall, from the calculations, magnetic core has 12779 positions, primary and secondary windings have 4167 positions and transformer oil has 14181 positions, where the instantaneous values of magnetic induction were calculated using COMSOL software. Figure 6 shows a cross-section of instantaneous values of magnetic induction from these results.

Figure 6 Instantaneous magnetic induction, T, values in COMSOL
Figure 6

Instantaneous magnetic induction, T, values in COMSOL

Afterwards, the model uses the obtained values of magnetic induction to calculate the values of elastic deformation by using magnetostriction curve. Figure 7 shows the visualisation of data as the final output of the model.

Figure 7 Calculated results of elastic deformation in magnetic core generated by the effect of magnetostriction in Matlab
Figure 7

Calculated results of elastic deformation in magnetic core generated by the effect of magnetostriction in Matlab

6 Conclusions

The created magnetostriction model of transformer magnetic core yields results for the numerical values and location of elastic deformations. Based on the obtained results it can be concluded that the most intensive elastic deformations caused by magnetostriction effect for particular transformer analysed within case study are located in the middle of phase B rod. Yet, area with the highest vibration values measured on the tank surface of this transformer is located on the outer limb of phase A.

Therefore, by comparing the results of visualisation and magnetostriction model, the conclusion is that in this particular case the cause magnetostriction in magnetic core did not cause high level of vibrations in the transformer. Furthermore, it is necessary to consider the possibility of other mechanical faults such as insufficient mechanical bracing of some parts of magnetic core.

The authors plan to implement this magnetostriction model as a separate section of a more extensive diagnostics methodology of power transformers with the modelling of the electrodynamic force influence on the transformer windings.

References

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Received: 2017-11-2
Accepted: 2017-11-12
Published Online: 2017-12-29

© 2017 J. Marks and S. Vitolina

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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  217. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  218. Comparison of the fractional power motor with cores made of various magnetic materials
  219. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  220. Dynamics of the line-start reluctance motor with rotor made of SMC material
  221. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  222. Inhomogeneous dielectrics: conformal mapping and finite-element models
  223. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  224. Topology optimization of induction heating model using sequential linear programming based on move limit with adaptive relaxation
  225. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  226. Detection of inter-turn short-circuit at start-up of induction machine based on torque analysis
  227. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  228. Current superimposition variable flux reluctance motor with 8 salient poles
  229. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  230. Modelling axial vibration in windings of power transformers
  231. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  232. Field analysis & eddy current losses calculation in five-phase tubular actuator
  233. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  234. Hybrid excited claw pole generator with skewed and non-skewed permanent magnets
  235. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  236. Electromagnetic phenomena analysis in brushless DC motor with speed control using PWM method
  237. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  238. Field-circuit analysis and measurements of a single-phase self-excited induction generator
  239. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  240. A comparative analysis between classical and modified approach of description of the electrical machine windings by means of T0 method
  241. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  242. Field-based optimal-design of an electric motor: a new sensitivity formulation
  243. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  244. Application of the parametric proper generalized decomposition to the frequency-dependent calculation of the impedance of an AC line with rectangular conductors
  245. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  246. Virtual reality as a new trend in mechanical and electrical engineering education
  247. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  248. Holonomicity analysis of electromechanical systems
  249. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  250. An accurate reactive power control study in virtual flux droop control
  251. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  252. Localized probability of improvement for kriging based multi-objective optimization
  253. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  254. Research of influence of open-winding faults on properties of brushless permanent magnets motor
  255. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  256. Optimal design of the rotor geometry of line-start permanent magnet synchronous motor using the bat algorithm
  257. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  258. Model of depositing layer on cylindrical surface produced by induction-assisted laser cladding process
  259. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  260. Detection of inter-turn faults in transformer winding using the capacitor discharge method
  261. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
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  263. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
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  265. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
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  267. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
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  275. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  276. Speed control of an induction motor by 6-switched 3-level inverter
https://doi.org/10.1515/phys-2017-0094
Schlagwörter für diesen Artikel
magnetostriction; magnetic cores; computer modeling and simulation; vibration measurement; magnetoelectric devices
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