Next Article in Journal
A Hybrid Building Power Distribution System in Consideration of Supply and Demand-Side: A Short Overview and a Case Study
Previous Article in Journal
An Improved Imperialist Competitive Algorithm to Solve the Selected Harmonic Elimination Pulse-Width Modulation in Multilevel Converters
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

On Simplified 3D Finite Element Simulations of Three-Core Armored Power Cables

by
Juan Carlos Del-Pino-López
1,*,
Marius Hatlo
2 and
Pedro Cruz-Romero
1
1
Departamento de Ingeniería Eléctrica, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, 41092 Sevilla, Spain
2
Technological Analysis Center, Nexans Norway AS, 1788 Halden, Norway
*
Author to whom correspondence should be addressed.
Energies 2018, 11(11), 3081; https://doi.org/10.3390/en11113081
Submission received: 20 October 2018 / Revised: 2 November 2018 / Accepted: 5 November 2018 / Published: 8 November 2018

Abstract

:
This paper analyzes different ways to electromagnetically simulate three-core armored cables in 3D by means of the finite element method. Full periodic models, as lengthy as 36 m, are developed to evaluate the accuracy when simulating only a small portion of the cable, as commonly employed in the literature. The adequate length and boundary conditions for having the same accuracy of full periodic models are also studied. To achieve this aim, five medium voltage and high voltage armored cables are analyzed, obtaining the minimum length of the cable that may be simulated for having accurate results in shorter time and with less computational burden. This also results in the proposal of a new method comprising the advantages of short geometries and the applicability of periodic boundary conditions. Its accuracy is compared with experimental measurements and the International Electrotechnical Commission (IEC) standard for 145 kV and 245 kV cables. The results show a very good agreement between simulations and measurements (errors below 4%), obtaining a reduction in the computation time of about 90%. This new method brings a more effective tool for saving time and computational resources in cable design and the development of new analytical expressions for improving the IEC standard.

1. Introduction

In the last decades there has been an important development in offshore wind farms due to higher and steadier mean wind speeds [1,2]. This growth is helping in improving the technology and efficiency of all the components involved, hence reducing the cost of these expensive installations. In this sense, one of the main components that have an important impact in the total cost are the submarine power cables needed for exporting the power energy. Its size, and consequently its cost, is defined by the IEC 60287 standard [3]. However, for the particular case of three-core armored cables, many studies have concluded that they are usually oversized, since the IEC standard overestimates the power losses in these cables [4,5,6,7,8,9]. The main reason of these results is because the analytical expressions provided in the IEC standard date back to the 1940’s [10], and were later updated in the 1990’s [11], where semi-empirical equations were derived by considering the armor as a tube enclosing the three phases (like pipe-type cables). This geometry allows currents to circulate along the “tube” armor, so armor losses may be of importance. However, this assumption ignores the fact that the armor is composed by steel wires which are helically twisted over the three phases. This way the relative position of active and passive conductors changes along the cable length. Thus, the net induced voltage in each armor wire is zero due to the twisting [4]. Consequently, no net current may flow along the armor wires in balanced systems as assumed erroneously in the IEC standard, as the power losses in the armor are only due to eddy currents within each individual wire and hysteresis losses.
Nonetheless, although researchers agree in the need of updating the expressions of the IEC standard, refs. [9,12] report some contradictory results regarding the importance of screen (sheath) over armor losses in the global computation of cable losses. In this sense, refs. [6,7] conclude that armored cables have higher losses than unarmored cables. However, the additional losses do not occur only in the armor itself, but also in the three screens. The main reason of this conclusion is that the presence of the armor disturbs the magnetic field distribution inside the cable, which is “compressed” under the armor, leading to higher flux linking the screens. Therefore, larger circulating currents are induced, and higher losses result in the screens [13]. This effect may be also influenced by the non-inear properties of the armor wires, which is something still to be analyzed in depth. Therefore, it may be of interest not only to update the IEC expression of the armor’s loss factor (λ2), but also that of the screen’s loss factor (λ1), as suggested in [9,13,14].
To this aim, accurate tools are required to simulate and analyze the complex physics and interactions involved in three-core armored cables, since experimental measurements are costly and only possible for manufacturers. In this sense, numerical simulations based on the finite element method (FEM) have been employed widely in the past [4,6,9,12,13,14,15,16]. This tool is usually applied to 2D geometries, sometimes representing the armor as a hollow cylinder with appropriate electrical properties to include the presence of gaps between the armor wires [15,16,17,18]. In any case, 2D FEM simulations do not consider the helical twisting of cores and armor wires, since 2D geometries assume that all cores and armor wires are straight and parallel. To include the twisting of passive and active conductors, ref. [4] proposed one of the most extended solutions, known as 2.5D FEM simulations, where the armor wires are connected in series through an external electric circuit which is coupled to the FEM model. This ensures that the total armor current is zero. Alternatively, some studies have proposed new analytical approaches for the estimation of power losses in three-core armored cables, such as [16]. Also, other studies propose improvements based on the method of moments (MoM-SO) [18,19] and the use of sub-conductor equivalent circuits [20], but they can only handle a constant relative permeability for the armor wires. Nonetheless, both numerical and analytical tools are commonly based on 2D geometries, where only the effect of the transverse magnetic field is considered. Subsequently, these approaches do not include the magnetic field component that is parallel to the armor wires [19]. This is of particular importance since it is the main cause of the eddy currents induced in the magnetic armor, and it is clearly influenced by the relative twisting between cores and armor (usually twisted with different lay lengths and in the opposite direction to achieve torsion stability). Hence, the mentioned approaches may provide wrong induced voltages along the screens and armor wires, resulting in false induced currents circulating within them.
Therefore, for a precise modeling of three-core armored cables, a 3D analysis would be required to accurately compute the fields produced by the helical paths of active and passive conductors in the cable. However, few studies have employed 3D geometries of three-core armored cables since simulations are very time consuming and require powerful computers. In this sense, some studies have employed several simplifications on 3D FEM models. For example, in ref. [9] a basic 3D FEM model was developed in COMSOL Multiphysics© (Stockholm, Sweden) [21] with 10 straight armor wires around three twisted conductors assumed as edges, where the wires were considered as non-conductive to simplify the complexity of the geometry and reduce the size of the mesh. Alternatively, in ref. [22] a 1200 mm2 three-core submarine cable with 119 armor wires and lead screens was modelled using the same software. Non-linear magnetic properties were employed in the armor wires. The model length was only about 1/3 of the core’s lay length to reduce the computational cost. The results derived from this 3D model confirm the higher losses provided by the IEC standard. However, it is not clear if the length of this model is acceptable to compute the exact steady-state solution of actual cables. In this sense, ref. [23] employs a 3-m long 3D FEM model to check both IEC standard and 2.5D FEM simulations. Although the results obtained from this shortened model seem to be in good agreement with experimental measurements [24], this work also states that the model length is not completely adequate to represent the phenomena that takes place in this cable, since a 6-m long geometry would be required for having a model length that provides periodicity in both the phases and armor lay length (the least common multiple (LCM) of both lay lengths). However, due to the high demanding computational requirements, authors claim in refs. [20,23,24] that 3D models larger than 3 m cannot be solved by any FEM software. But in [25] a 3D FEM model as long as 14 m was developed in COMSOL Multiphysics© for obtaining the series resistance and the inductive reactance of a 800 mm2 145 kV three-core submarine power cable. The model length was equal to the LCM of cores and armor lay length, and periodic boundary conditions were applied at both ends of the geometry, obtaining results in good agreement with experimental measurements. Reference [25] also presented the feasibility of 3D FEM models to develop a complete parametric analysis by showing the influence of the armor permeability and the core and armor twisting on different aspects such as power losses and self, mutual and sequence impedances, being the latter of great importance for distance relay settings [26].
From all these studies it is clearly concluded that 3D FEM models provide very important data and valuable knowledge about all phenomena that take place inside three-core armored cables, being an essential tool for cable design not only for the development of new accurate analytical expressions of the current rating in these power cables, but also for the evaluation of positive-negative and zero sequence impedances for the correct setting of network protections. However, after reviewing the state of the art cables, one question arises in relation to the simulation of these cables: Is full periodicity certainly required in 3D FEM models? Indeed, the use of periodic models as long as the LCM of phases and armor lay length may not always help in reducing the size of the model (i.e., a cable with a lay length of 3.3 for the cores and 4 m for the armor would require a 132 m model length). Therefore, in many situations extremely large computational resources would be required to solve the model.
To add some order to this matter, this work analyzes in Section 2 the accuracy of non-periodic models when compared to full periodic models, while also looking for the shortest length to be considered for having accurate results. In Section 3 a new short 3D periodic model is proposed to reduce the size and complexity of 3D FEM models, so that lower computational resources may be required for having the same accuracy as full periodic models. The error in power losses as well as the reduction in simulation times are also compared to those provided by non-periodic models. Eventually, Section 4 compares this new proposal with experimental measurements and the IEC standard.

2. Accuracy of Non-Periodic 3D FEM Models

For three-core armored cables, the model size can be reduced by taking advantage of symmetries in the geometry, such as axial periodicity, so that only a short portion of the cable may be simulated for having the same results as infinitely long models. In this sense, an appropriate axial length for the model (named henceforth periodic length) should be selected to ensure periodicity in both the phases and armor lay length (an integer number of turns for both the armor wires and the phases). Thus, its relative position at both ends of the geometry remains equal, and both ends are also equally oriented, as represented in Figure 1 by two coordinate systems ( e x , e y , e z ) and ( e x , e y , e z ). Therefore, the destination boundary is a simple geometric translation of the source boundary along the z axis, so it is easy for the FEM software to apply periodicity by just forcing the solution of the magnetic vector potential | A | at each destination point ( | A d i s t | ) to be equal to the solution at a corresponding source point ( | A s r c | ).
However, when the length selected for a 3D FEM model leads to a non-periodic model, the relative position between phases and armor wires is different at both ends of the geometry, thus no periodic boundary conditions can be applied there. This forces the induced currents in the armor to flow differently than they would do in a periodic geometry, especially at both ends, since Ampere’s Law must be fulfilled. This results in a different distribution of the power losses in the armor, as shown in Figure 2, where they are represented for the cases of periodic boundary conditions (Figure 2a) or non-periodic (Figure 2b). As can be observed, while Figure 2a shows a complete periodicity in the distribution of the losses, Figure 2b presents a different behavior at each end of the cable. This is quantified in Figure 3 where the relative difference between the armor losses obtained in both situations is represented in %. It is to be noticed that, in the periodic case, there are regions at both ends of the geometry where the armor losses may be more than 80% higher than those of the non-periodic case.
Therefore, the influence of these regions in the computation of the armor losses may be of importance, depending on their relative size to the periodic length of the model, which also depends on the relative twisting of conductors and armor wires and the selected length for the non-periodic model. In other words, smaller errors are to be expected in larger models, since these regions would have less relative weight in the total armor losses. However, this may be computationally inefficient, so it is of interest to find the minimum length that may be employed in non-periodic 3D FEM models that ensures accurate results. To clarify this point, a set of 3D FEM simulations have been carried out for five medium voltage (MV) and high voltage (HV) three-core armored cables (Table 1). The values of electrical resistivity of conductors and sheaths are taken from the IEC standard [3] and a complex relative permeability for the armor of μr =100 − 50j was used. All models were solved in COMSOL Multiphysics©. For each cable, the loss factors for the sheaths (λ1) and the armor (λ2) have been computed by means of full periodic and non-periodic 3D FEM models. The procedure is as follows: λ1 and λ2 are obtained for different lengths (L) of the portion of the cable simulated in non-periodic 3D FEM models (no periodic boundary conditions were applied at both ends of the geometry). The same is done by means of full periodic models, with a periodic length equal to the LCM of armor and phases lay length (from 1.2 m to 36 m-length models, as shown in Table 1), so that periodic boundary conditions were applied at both ends of the geometry. Then, taking the results from the full periodic models as the “exact value”, the error in λ1 and λ2 is obtained.
For this task, a workstation composed by two Xeon (E5-2630, Intel©, Santa Clara, CA, USA) 2.6 GHz control process units (CPUs) with 256 GB of read access memory (RAM) and a 2 Tb hard disk drive for memory swapping was employed. The results are represented in Figure 4 as a function of the model length. Since these cables are very different in size, the length of the model is better characterized in Figure 4 by means of the ratio between L and the so-called crossing pitch (CP), defined in [7] for armor and phases twisted in opposite directions (contralay) as
  C P = 1 1 p a + 1 p c ,  
where pa and pc denote the lay length of armor and phases in meters, respectively. Thus, the ratio L/CP represents the length employed in the model relative to the CP of each cable (Table 1).
From Figure 4a it can be derived that differences below 5% in relation to full periodic models can be obtained in λ1, provided that the length employed for the non-periodic model is, at least, a 75% of the CP of each cable. Moreover, models as short as 50% of the CP may be employed if an error below 10% can be assumed. Nonetheless, the error in λ2 presents a more erratic behavior (Figure 4b). In this case, differences below 10% are guaranteed by non-periodic models when using a model length larger than 110% of the CP. In fact, for a model length in the order of 125% of the CP a relative error below 5% may be achieved in most of the cables considered. For this length, Table 2 shows the relative error in the series resistance (R) and inductive reactance (X) of the cable, the sheath current (Is), the loss factors and the simulation time reduction (ΔT) relative to the full periodic models.
From these results it is easily concluded that short geometries can be employed in non-periodic 3D FEM models for having reliable and meaningful results not only in λ1 and λ2, but also in other parameters, hence greatly reducing the computational resources and time for the simulations. Nonetheless, a further analysis may provide new ways to obtain more accurate results, comprising the advantages of short geometries and the applicability of periodic boundary conditions, as is developed next.

3. Proposal of a New 3D Short Periodic Model

As observed previously in Figure 2, the distribution of the power losses in the armor shows a helical and periodic pattern, with higher losses in areas close to the power conductors. This pattern is a consequence of the relative twisting of armor wires and phase conductors, related to the CP defined earlier. Since this parameter defines the cable axial distance bounded by consecutive crossings between a specific armor wire and a particular phase conductor, it represents some kind of periodicity in the geometry of the cable. This is observed in Figure 5 for Cable 1, where the magnitude of the magnetic field is represented in different slices that are separated a distance equal to CP (0.3 m). As can be observed, all slices are equal but rotated a certain angle following the phase twisting.
Similar conclusions are derived from Figure 6, where the magnetic flux lines trapped inside an armor wire are depicted. It shows how the maximum in the magnetic field inside the wire is periodically reached when the wire is closer to a phase conductor. Another interesting fact not clearly seen in Figure 6 is that the flux lines enter and leave the wire at certain points depending on its relative position to the phase conductor, as clearly shown in Figure 7a. Furthermore, this pattern is repeated every 0.3 m but rotated.
All this must be reflected in the current density distribution inside the armor wires. Certainly, the magnitude of the current density inside the wires is not uniform, as represented in Figure 7b for a longitudinal, diametral cross-section in a wire portion, being quite low in the center all through the wire and reaching maxima periodically at certain areas close to the surface as better seen in Figure 8, where there are 12 regions where the maximum current density is achieved through the whole length of the wire.
This pattern is a consequence of how the induced eddy currents flow through the wire depending on its relative position to the phase conductors. In this sense, Figure 9a shows how eddy currents flow in close paths inside the armor wires and close to its external surface (skin effect), so that the longitudinal net current in the armor is virtually zero. However, they may flow clockwise or counterclockwise at different locations inside the armor wire, as observed in Figure 9b, where the arrows represent the direction of the current density, and its size and color represent the magnitude of the current density inside a longitudinal, diametral cross-section along an armor wire.
As can be seen, the magnitude of the current density is at the maximum at the beginning of this wire, and currents flow clockwise. Then, it starts decreasing along the wire until a point where it increases again, but now flowing counterclockwise. Furthermore, this pattern is observed on every armor wire and it is repeated every 0.3 m (the CP) along the model length but rotated. All this gives rise to the 12 maxima in the current density observed earlier in Figure 8 (each armor wire passes close to any of the three phase conductor three times every 0.3 m, hence repeated four times for the periodic length of 1.2 m).
In summary, the solution of the whole cable can be derived by only analyzing a short portion as lengthy as the CP (Figure 10a). Nonetheless, although the relative position between the phase conductors and the armor wires is identical at both ends of this short model, now the source and destination boundaries are not equally oriented, as shown in Figure 10b, so periodic boundary conditions must be properly applied. Since in three-core armored cables the armor and the phase conductors are usually twisted in different directions and with a different lay length, it is hard for the FEM software to find the transformation matrix that encodes the relative orientation of the source and destination points to apply periodicity. It is then needed to set up manually its relative orientation by assigning an appropriate coordinate system for each boundary.
To this aim, the global coordinate system ( e x , e y , e z ) is assigned to the source boundaries and a new one ( e x , e y , e z ) is obtained for the destination boundaries by rotating the global system a certain angle θ (Figure 10b):
e x = cos θ · e x + sin θ · e y , e y =   sin θ · e x + cos θ · e y , e z = e z ,
being
  θ = ± 2 π C P p c ,
where the plus sign denotes phases twisted in counterclockwise and the minus sign for the clockwise case.

3.1. Comparison with Full Periodic and Non-Periodic Models

This new short periodic model has the advantage of having a length equal to the CP, less that the length of 1.25CP suggested earlier for the case of non-periodic models. From this point of view this new model would take shorter time to simulate. However, the use of rotated periodic boundary conditions increases the complexity of the model and hence the solution time. To clarify whether short periodic or non-periodic model is faster and more accurate, Table 3 presents some results, including the error in R, X, Is, λ1, λ2, as well as the reduction in simulation time when compared to the full periodic model (ΔTf) and the non-periodic model (ΔTnp) of each cable.
From these results it should be remarked the small error in the electrical parameters and the loss factors obtained with the new short periodic model when compared to the full periodic one (most of them below 0.5%), especially if one has in mind the great differences in size, complexity and simulation time between both models. This proves that this short periodic model behaves “exactly” like the full model, providing lower error than those obtained by non-periodic models. Moreover, when compared to 1.25CP-length non-periodic models, Table 3 shows that, although there are no important differences in simulation time, the new short periodic model is often faster than non-periodic models (negative value in ΔTnp denotes faster computation in non-periodic models).

3.2. Computational Requirements

The great reduction in simulation time brings the opportunity of using less expensive equipment for the simulations, and also the possibility of considering additional aspects to make the model more accurate. For example, the use of a complex permeability for the armor wires (μr) as a function of the magnetic field f (B):
μ r = μ 0 r + μ m r ( 1 e α 1 | B | ) j μ m i ( 1 e α 2 | B | ) ,
where parameters μ0r, μmr, μmi, α1 and α2 are defined in [9].
To illustrate this, some results are presented in Table 4 for Cable 2 (Figure 11a) and Cable 4 (Figure 11b) when using a full 3D periodic model (F3D) and the new short 3D periodic model here proposed (S3D). Also, some results obtained from 2.5D FEM simulations are included. The size of the model is indicated by its length, as well as the number of mesh elements employed and the number of degrees of freedom to be solved (DoFs). The simulation time and the memory requirements are also included for two different computers: A workstation composed by two Intel® Xeon E5-2630 2.6 GHz CPUs with 256 GB of RAM memory, and a CPU Intel® i7-4770K 3.5 GHz with 32 GB of RAM memory. Both computers have a 2 Tb hard disk drive for memory swapping. The parameters for Equation (4) are selected from [9] for grade 34.
As expected, 3D models take longer time than few seconds, as 2.5D models do. However, it can be observed the great reduction obtained in computing time and memory requirements when using the approach proposed in this work (S3D). In particular, it can be observed how the 14-m long 3D FEM model of Cable 2 took about 30 h to be solved when using an armor permeability of μr = f (B), being necessary to use the hard disk drive for memory swapping. Conversely, with the proposed approach (S3D) it took only 1.5 h, using just a 23% of the available RAM memory resources. Furthermore, if a constant permeability of μr = 100 − 50j is employed for the armor, then time reduces to just 15 min for the same mesh size. Table 4 also shows that the F3D model of Cable 4 took about 17 h to be solved, but it reduces to less than 1 h in the workstation when using S3D for a finer mesh than that employed in the F3D model. On the other hand, Table 4 also shows that both cables can be now simulated in a smaller computer when using S3D, hence reducing the need for large computational resources in case of high accuracy requirements.

4. Comparison with Experimental Measurements and the IEC Standard

In the following, simulations developed by S3D are compared to experimental measurements for cables 2, 4 and 5 [6,27]. The electrical and magnetic properties of the cables were obtained from experimental measurements and adjusted for the correct temperature. For Cable 4 two different materials are considered for the armor: galvanized steel (with magnetic properties) and stainless steel (with no magnetic properties). For the three cables the per-unit length resistance R and reactance X are obtained, comparing the results with experimental measurements in two situations: armor and screens solidly bonded and in open circuit. All the results and the relative differences (εR and εX) between S3D simulations and measurements are presented in Table 5 and Figure 12, where results obtained from 2D and 2.5D FEM models are also included as a reference. It is to be remarked that, even though there are always uncertainties related to measurements and simulations, the results here presented are in very good agreement for all the situations analyzed, with relative errors always lower than 4%. These results show the accuracy and the usefulness of the short 3D periodic model here proposed, both in R and X, especially when compared to the results provided by 2D and 2.5D FEM model, as shown in Figure 12a, where 2.5D models present the greatest error in the resistance and 2D models in the reactance.
Regarding the power losses, Figure 13 presents the results for the screens and armor loss factors (λ1 and λ2) derived not only from different FEM models, but also from the IEC standard and estimates resulting from experimental measurements (screens and armor solidly bonded). In the latter case, λ1 and λ2 are obtained only for cables 4 and 5 by means of the procedure presented in [5,7], requiring measurements in the cable with and without the armor [27]. It should be remarked that this procedure only provides estimates of λ1 and λ2, since it is not possible to measure the power losses in the cable separately, thus these values must be taken only as a reference. This way, Figure 13 shows that the results provided by S3D FEM models are very close to the estimates derived from experimental measurements, hence reasserting the validity of proposed short model. Moreover, these results also verify that the expressions of the IEC standard overestimate both loss factors when compared to experimental estimates and S3D simulations, especially λ2. Additionally, it is also observed that 2D and 2.5D models do underestimate the screen’s loss factor, especially in cables with magnetic armor. On the contrary, while 2D models overestimates the armor loss factor, 2.5D models do the opposite, resulting in almost negligible armor losses. In any case, from Figure 13 it can be concluded that, as expected, armor losses are quite low, far from the IEC estimations, but not negligible as provided by 2.5D FEM models.

5. Conclusions

This work evaluates different ways for the simulation of three-core armored cables by means of 3D FEM models. To this aim, up to five MV and HV cables are simulated by means of full periodic and non-periodic 3D FEM models. This way, the accuracy of non-periodic models is analyzed, and the minimum model length for having accurate results is derived. It is concluded that a model length of about 125% of the CP of the cable should be employed for having errors below 10% in sheath and armor losses.
On the other hand, this work also analyzes the adequate length and boundary conditions for obtaining the shortest model possible with the same accuracy of full periodic models. As a result, a new way to simulate three-core armored cables is proposed, where rotated periodic boundary conditions are to be applied at both ends of a model as long as the CP of the cable. The accuracy of this new proposal is compared to full periodic models, resulting in errors below 0.5% in R, X, Is, λ1, and λ2. Furthermore, a great reduction in the simulation time is obtained in relation to full periodic models (more than 90%) and non-periodic models (about 15%).
Finally, the results in R and X derived from the new method in 145 kV and 245 kV cables are compared to experimental measurements, resulting in a very good agreement (differences below 3% in most of the cases). Additional comparisons are performed with the IEC standard and power losses estimates derived from the experimental measurements, concluding that the new proposal fits very well with the experimental results and endorses the well-known conclusion regarding the overestimation of the power losses derived from the IEC standard.
The new method here proposed brings a new and more effective tool to provide very important data and valuable knowledge about all phenomena that take place inside three-core armored cables, very useful for saving time in cable design and for the development of new accurate analytical expressions for the current rating of these power cables.

Author Contributions

J.C.d.-P.-L. conceived the idea of the project, undertook the modelling work and wrote the paper, P.C.-R. obtained funding and thoroughly reviewed the paper, and M.H. provided valuable data, gave helpful comments and revised the paper.

Funding

This research was funded by the Agencia Estatal de Investigación and Fondo Europeo de Desarrollo Regional (AEI/FEDER, UE) under the project ENE2017-89669-R and by the Universidad de Sevilla (VI PPIT-US) under grant 2018/00000740.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. You, L.; Wang, J.; Liu, G.; Ma, H.; Zheng, M. Thermal rating of Offshore wind farm cables installed in ventilated J-tubes. Energies 2018, 11, 545. [Google Scholar] [CrossRef]
  2. Rodrigues, S.; Restrepo, C.; Kontos, E.; Teixeira Pinto, R.; Bauer, P. Trends of offshore wind projects. Renew. Sustain. Energy Rev. 2015, 49, 1114–1135. [Google Scholar] [CrossRef]
  3. International Electrotechnical Commission. Electric Cables—Calculation of the Current; IEC 60287; IEC Press: Geneva, Switzerland, 2006. [Google Scholar]
  4. Bremnes, J.J.; Evenset, G.; Stølan, R. Power loss and inductance of steel armoured multi-core cables: Comparison of IEC values with 2.5D FEA results and measurements. In Proceedings of the CIGRÉ Session 2010, Paris, France, 22–27 August 2010. [Google Scholar]
  5. Palgrem, D. Armor loss in three-core submarine XLPE cables. In Proceedings of the 8th International Conference on Insulated Power Cables, Versailles, France, 19–23 June 2011. [Google Scholar]
  6. Hatlo, M.M.; Bremnes, J.J. Current armour loss in three-core cables: Comparison of FEA results and measurements. In Proceedings of the CIGRÉ Session 2014, Paris, France, 24–29 August 2014. [Google Scholar]
  7. Frelin, W.; Moreau, C.; Willen, D.; Thidemann, C.; De Robien, G.; Boudinet, N. Measurements of losses on three core power cables. In Proceedings of the 9th International Conference on Insulated Power Cables, Versailles, France, 21–25 June 2015. [Google Scholar]
  8. Maioli, P. AC resistance of submarine cables. In Proceedings of the 9th International Conference on Insulated Power Cables, Versailles, France, 21–25 June 2015. [Google Scholar]
  9. Hatlo, M.; Olsen, E.; Stølan, R. Accurate analytic formula for calculation of losses in three-core submarine cables. In Proceedings of the 9th International Conference on Insulated Power Cables, Versailles, France, 21–25 June 2015. [Google Scholar]
  10. Arnold, A. Eddy-current losses in multi-core paper-insulated lead-covered cables, armoured and unarmoured, carrying balanced 3-phase current. J. Inst. Electr. Eng. Part II Power Eng. 1941, 88, 52–63. [Google Scholar] [CrossRef]
  11. Barrett, J.; Anders, G. Circulating current and hysteresis losses in screens, sheaths and armour of electric power cables—Mathematical models and comparison with IEC Standard 287. IEE Proc. Sci. Meas. Technol. 1997, 144, 101–110. [Google Scholar] [CrossRef]
  12. Arentsen, M.T.; Expethit, A.; Pedersen, M.V.; Sørensen, S.B.; da Silva, F.F.; Sørensen, D.A. MVAC Submarine Cable, Impedance Measurements and Analysis. In Proceedings of the 52nd International Universities Power Engineering Conference (UPEC), Heraklion, Greece, 28–31 August 2017. [Google Scholar] [CrossRef]
  13. da Silva, F.F.; Ebdrup, T.; Bak, C.L.; Jensen, C.F. Understanding losses in three core armoured submarine cables. In Proceedings of the CIGRÉ Session 2014, Paris, France, 21–26 August 2016. [Google Scholar]
  14. Baù, M.; Viafora, N.; Hansen, C.S.; Dall, L.B.; Badulescu, N.; da Silva, F.M.F. Steady State Modelling of Three-core Wire Armoured Submarine Cables: Power Losses and Ampacity Estimation Based on FEM and IEC. In Proceedings of the 51st International Universities Power Engineering Conference (UPEC), Coimbra, Portugal, 6–9 September 2016. [Google Scholar] [CrossRef]
  15. Pilgrim, J.; Catmull, S.; Chippendale, R.; Tyreman, R.; Lewin, P. Offshore Wind Farm Export Cable Current Rating Optimisation. In Proceedings of the European Wind Energy Association (EWEA) Offshore, Frankfurt, Germany, 19–21 November 2013. [Google Scholar]
  16. Goddard, K.F.; Pilgrim, J.A.; Chippendale, R.; Lewin, P.L. Induced losses in three-core SL-type high-voltage cables. IEEE Trans. Power Deliv. 2015, 30, 1505–1513. [Google Scholar] [CrossRef]
  17. Viafora, N.; Baù, M.; Dall, L.B.; Hansen, C.S.; Ebdrup, T.; da Silva, F.M.F. Analytical Expression of Equivalent Transverse Magnetic Permeability for Three-core Wire Armoured Submarine Cables. In Proceedings of the 51st International Universities Power Engineering Conference (UPEC), Coimbra, Portugal, 6–9 September 2016. [Google Scholar] [CrossRef]
  18. Patel, U.R.; Triverio, P. Accurate Impedance Calculation for Underground and Submarine Power Cables Using MoM-SO and a Multilayer Ground Model. IEEE Trans. Power Deliv. 2016, 31, 1233–1241. [Google Scholar] [CrossRef]
  19. Gustavsen, B.; Hoyer-Hansen, M.; Triverio, P.; Patel, U.R. Inclusion of Wire Twisting Effects in Cable Impedance Calculations. IEEE Trans. Power Deliv. 2016, 31, 2520–2529. [Google Scholar] [CrossRef]
  20. Benato, R.; Dambone Sessa, S. A new multiconductor cell three-dimension matrix analysis applied to a three-core armoured cable. IEEE Trans. Power Deliv. 2018, 33, 1636–1646. [Google Scholar] [CrossRef]
  21. COMSOL Multlphysics®, version 5.3a; COMSOL AB: Stockholm, Sweden, 2018.
  22. Sturm, S.; Paulus, J. Estimating the losses in three-core submarine power cables using 2D and 3D FEA simulations. In Proceedings of the 9th International Conference on Insulated Power Cables, Versailles, France, 21–25 June 2015. [Google Scholar]
  23. Benato, R.; Dambone Sessa, S.; Forzan, M.; Marelli, M.; Pietribiasi, D. Core laying pitch-long 3D finite element model of an AC three-core armoured submarine cable with a length of 3 metres. Electr. Power Syst. Res. 2017, 150, 137–143. [Google Scholar] [CrossRef]
  24. Benato, R.; Dambone Sessa, S.; Forzan, M. Experimental validation of 3-dimenion multiconductor cell analysis by a 30 km submarine three-core armoured cable. IEEE Trans. Power Deliv. 2018, in press. [Google Scholar] [CrossRef]
  25. del-Pino-López, J.C.; Hatlo, M.; Cruz-Romero, P. A 3D Parametric Analysis of Three-core Armored Power Cables Series Impedance. In Proceedings of the International Conference on Smart Energy Systems and Technologies (SEST), Sevilla, Spain, 10–12 September 2018. [Google Scholar] [CrossRef]
  26. Benato, R.; Caciolli, L. Sequence impedances of insulated cables: Measurements versus computations. In Proceedings of the IEEE PES Transmission and Distribution Conference and Exposition (T&D), Orlando, FL, USA, 7–10 May 2012. [Google Scholar] [CrossRef]
  27. Stølan, R.; Hatlo, M. Armour Loss in Three Core Submarine Cables—Measurements of Cable Impedance and Armour Wire Permeability. In Proceedings of the CIGRÉ Session 2014, Paris, France, 26–31 August 2018. [Google Scholar]
Figure 1. Boundary orientation in periodic geometry.
Figure 1. Boundary orientation in periodic geometry.
Energies 11 03081 g001
Figure 2. Distribution of armor losses in: (a) periodic FEM model; (b) non-periodic 3D FEM model.
Figure 2. Distribution of armor losses in: (a) periodic FEM model; (b) non-periodic 3D FEM model.
Energies 11 03081 g002
Figure 3. Relative difference in the armor losses between periodic and non-periodic 3D FEM models.
Figure 3. Relative difference in the armor losses between periodic and non-periodic 3D FEM models.
Energies 11 03081 g003
Figure 4. Error as a function of the ratio L/CP in: (a) λ1; (b) λ2.
Figure 4. Error as a function of the ratio L/CP in: (a) λ1; (b) λ2.
Energies 11 03081 g004
Figure 5. Magnetic field magnitude in different slices spaced a distance equal to the CP of Cable 1.
Figure 5. Magnetic field magnitude in different slices spaced a distance equal to the CP of Cable 1.
Energies 11 03081 g005
Figure 6. Magnetic flux lines through an armor wire in Cable 1. The arrows indicate the crossing points between the armor and a particular phase.
Figure 6. Magnetic flux lines through an armor wire in Cable 1. The arrows indicate the crossing points between the armor and a particular phase.
Energies 11 03081 g006
Figure 7. Detailed armor wire in Cable 1: (a) Magnetic field flow lines at opposite directions meeting each other and leaving the armor wire; (b) Current density distribution in a longitudinal, diametral cross-section in a portion of an armor wire in Cable 1.
Figure 7. Detailed armor wire in Cable 1: (a) Magnetic field flow lines at opposite directions meeting each other and leaving the armor wire; (b) Current density distribution in a longitudinal, diametral cross-section in a portion of an armor wire in Cable 1.
Energies 11 03081 g007
Figure 8. Current density distribution along a longitudinal cross-section of an armor wire in Cable 1 (dimensions not to scale).
Figure 8. Current density distribution along a longitudinal cross-section of an armor wire in Cable 1 (dimensions not to scale).
Energies 11 03081 g008
Figure 9. (a) Eddy currents circulating inside the armor wires in Cable 1; (b) Direction of the flowing path of eddy currents inside a portion of an armor wire in Cable 1.
Figure 9. (a) Eddy currents circulating inside the armor wires in Cable 1; (b) Direction of the flowing path of eddy currents inside a portion of an armor wire in Cable 1.
Energies 11 03081 g009
Figure 10. (a) Short periodic model for Cable 1; (b) Orientation of boundaries in short periodic model for Cable 1.
Figure 10. (a) Short periodic model for Cable 1; (b) Orientation of boundaries in short periodic model for Cable 1.
Energies 11 03081 g010
Figure 11. Current density distribution in short periodic model for: (a) Cable 2; (b) Cable 4.
Figure 11. Current density distribution in short periodic model for: (a) Cable 2; (b) Cable 4.
Energies 11 03081 g011
Figure 12. Errors in different FEM models for R (a) and X (b) relative to experimental measurements (solid bonding) for the cables of Table 5.
Figure 12. Errors in different FEM models for R (a) and X (b) relative to experimental measurements (solid bonding) for the cables of Table 5.
Energies 11 03081 g012
Figure 13. Loss factor obtained from FEM models, IEC standard and experimental measurements (solid bonding) for: (a) the screens; (b) the armor.
Figure 13. Loss factor obtained from FEM models, IEC standard and experimental measurements (solid bonding) for: (a) the screens; (b) the armor.
Energies 11 03081 g013
Table 1. MV and HV cable data.
Table 1. MV and HV cable data.
Cable 1Cable 2Cable 3Cable 4Cable 5
Voltage (kV)30145170245245
ConductorCuCuCuAlCu
Cross-section (mm2)3580063012001600
Conductor radius (mm)3.517.515.2521.4523.15
Sheath thickness (mm)0.93.72.42.252.25
Sheath radius (mm)9.2543.839.7549.7552
Core lay length (m)1.22.83.644
Wires diameter (mm)65.65.655.6
No. of wires28114103139129
Armor radius (mm)29.32104.591.91115.6120.75
Armor lay length (m)0.43.52.23.63.6
LCM (m)1.2147.23636
CP (m)1.21.561.371.891.89
Table 2. Error in R, X, Is, λ1, λ2 and simulation time reduction in relation to full periodic models for L = 1.25CP.
Table 2. Error in R, X, Is, λ1, λ2 and simulation time reduction in relation to full periodic models for L = 1.25CP.
ParameterCable 1Cable 2Cable 3Cable 4Cable 5
εR (%)2.081.191.21.111.07
εX (%)0.80.980.80.690.88
εIs (%)1.120.480.470.490.44
ελ1 (%)4.432.322.312.151.93
ελ2 (%)82.612.735.014.83
ΔT (%)8296929898
Table 3. Error in R, X, Is, λ1, λ2 and simulation time reduction in short periodic model in relation to full periodic and non-periodic models with L = 1.25CP.
Table 3. Error in R, X, Is, λ1, λ2 and simulation time reduction in short periodic model in relation to full periodic and non-periodic models with L = 1.25CP.
ParameterCable 1Cable 2Cable 3Cable 4Cable 5
εR (%)0.150.080.020.010
εX (%)00.070.070.090.11
εIs (%)0.90.030.020.070.05
ελ1 (%)0.340.080.010.050.04
ελ2 (%)0.070.180.090.080.08
ΔTf (%)8397939999
ΔTnp (%)−7.617−140.94.5
Table 4. Model size and solution time.
Table 4. Model size and solution time.
SizeLength (m)No. Mesh ElementsDoFsμrCPUTimeMemory (GB)
Cable 2F3D143 × 1063.2 × 106f (B)E530 h256 + swap
S3D1.556.5 × 1051.2 × 106f (B)E51.5 h60
100 − 50jE515 min60
100 − 50ji730 min32 + swap
2.5D-9.2 × 1044.6 × 104f (B)i78 s1
Cable 4F3D368.3 × 10618 × 106100 − 50jE517 h256 + swap
S3D1.899.5 × 1061.8 × 106100 − 50jE550 min90
100 − 50ji776 min32 + swap
2.5D-9 × 1044.5 × 104100 − 50ji77 s1
Table 5. Experimental and S3D simulation results.
Table 5. Experimental and S3D simulation results.
BondingResultR (Ω/km)εR (%)X (Ω/km)εX (%)
Cable 2 1SolidMeasured0.04550.220.121.66
FEM0.04540.118
Cable 4 1SolidMeasured0.0420.470.114−0.17
FEM0.04180.1142
OpenMeasured0.0332−0.300.118−0.34
FEM0.03330.1184
Cable 4 2SolidMeasured0.0382.63NA-
FEM0.0370.11
OpenMeasured0.0313.55NA-
FEM0.02990.112
Cable 5 1SolidMeasured0.0314−1.270.107−0.94
FEM0.03180.108
OpenMeasured0.0221−3.170.111−1.35
FEM0.02280.1125
1 Galvanized steel; 2 Stainless steel, NA: not available.

Share and Cite

MDPI and ACS Style

Del-Pino-López, J.C.; Hatlo, M.; Cruz-Romero, P. On Simplified 3D Finite Element Simulations of Three-Core Armored Power Cables. Energies 2018, 11, 3081. https://doi.org/10.3390/en11113081

AMA Style

Del-Pino-López JC, Hatlo M, Cruz-Romero P. On Simplified 3D Finite Element Simulations of Three-Core Armored Power Cables. Energies. 2018; 11(11):3081. https://doi.org/10.3390/en11113081

Chicago/Turabian Style

Del-Pino-López, Juan Carlos, Marius Hatlo, and Pedro Cruz-Romero. 2018. "On Simplified 3D Finite Element Simulations of Three-Core Armored Power Cables" Energies 11, no. 11: 3081. https://doi.org/10.3390/en11113081

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop