1. Introduction
High-voltage optic–electric composite submarine power cables (referred to as submarine cables) play a crucial role in long-distance high-voltage power transmission across seas, ensuring the industrial and agricultural production and daily life of island residents, the normal operation of offshore working platforms, and consolidating maritime borders [
1]. In recent years, to simultaneously transmit electrical energy and information, people have begun to embed optical fibers in submarine cables, forming optic–electric composite submarine cables that can transmit both power and communication information. Compared with conventional submarine power cables and submarine optical cables, it has lower costs and requires less subsequent maintenance, while also conserving marine routing resources [
2]. Optic–electric composite high-voltage submarine cables (referred to as submarine cables) are an inevitable trend in the future development of high-voltage submarine cables, and their application will surely become increasingly widespread [
3]. Laid on the seabed, submarine cables gradually age under the effects of electrical, thermal, mechanical and environmental stresses. Moreover, due to the complex operational environment, the maintenance of submarine cables is not convenient. Therefore, how to effectively predict faults and ensure the safe and reliable operation of submarine cables is important.
Methods such as the insulation resistance method, partial discharge method [
3,
4], leakage current method [
5], and damped oscillating voltage method [
6] have played a significant role in the condition assessment and fault diagnosis of power cables. To improve the power supply reliability, higher requirements have been put forward for the detection methods of submarine cables. Since optical fibers are embedded in the optic–electric composite submarine cable, the temperature or strain along the optical fiber can be effectively measured based on the optical fiber-distributed sensing technology [
7,
8], providing a reference for the condition assessment and fault diagnosis of the submarine cable. Another advantage of this method is that it can easily locate the fault. This monitoring method is one of the most intensively investigated topics with regard to submarine cables [
9,
10,
11,
12,
13]. The temperature, strain and vibration of the optical fibers in submarine cables can be measured. The temperatures of the cable conductor and XLPE (cross-linked polyethylene) insulation (referred to as insulation) are important operational information for submarine cables, which will affect the maximum allowable load of the submarine cable, the aging rate and service life. How to calculate the conductor and insulation temperatures of the submarine cable based on the optical fiber temperature measured by the optical fiber-distributed sensing monitoring system will be of great value. Existing studies have involved the modeling of the temperature field of submarine cables. For example, in Ref. [
14], considering the convective and conductive heat transfer of submarine cables, a temperature field model with less computational cost was proposed. The results show that the difference in the calculated temperature between the one-dimensional model and the two-dimensional model is no more than 1.5 °C. Compared with the two-dimensional model, the one-dimensional one can greatly reduce the computational burden. Ref. [
15] proposed a thermal circuit model for submarine cables considering the variation of seawater parameters and applied it to the calculation of the allowable ampacity of submarine cables. The results reveal that, compared with the IEC thermal circuit model, the difference in the calculated temperature between the two methods when the extreme values of seawater parameters are selected can reach 123 A. Although the above models can calculate the temperature distribution of submarine cables, this does not provide the temperature estimation formula for submarine cables based on the temperature of optical fibers. Although Ref. [
16] provides an estimation formula for the conductor temperature of three-core submarine cables, no estimation formula for insulation temperature is presented. More importantly, only the estimation formula for the three-core submarine cables rather than the single-core ones is presented. Ref. [
17] established the temperature field models of single-core and three-core submarine cables, and the temperature estimation formulas of the cable conductor, insulation and sheath based on the temperature of the optical fiber are presented. In actual situations, the temperatures in the above parts are not only related to the optical fiber temperature but also to the ambient temperature. However, the formulas provided in Ref. [
17] do not take the ambient temperature into account. Clearly, it is difficult to directly apply this method in actual situations. In conclusion, for the conductor and insulation temperature estimation for the single-core submarine cable involved in this work, no reliable estimation formula has been found, which has affected the promotion and application of the submarine cable online monitoring system based on optical fiber-distributed sensing.
To fix the above problem, combined with the improved IEC method [
18], in this work, a thermoelectric coupling field model of submarine cable was established in Comsol. The temperature distribution of the submarine cable and its surroundings was obtained, and the model was preliminarily validated. Based on this model, the influence of ambient temperature and ampacity on the temperatures of the cable conductor, insulation and optical fiber are investigated. At the same time, the relationship between the temperature of the cable conductor and insulation and the temperature of the optical fiber and the ambient temperature is obtained. The estimation formulas of the temperature of the cable conductor and insulation based on the ambient temperature and the temperature of the optical fiber are obtained and validated by simulation.
2. Submarine Cable Temperature Monitoring Method Based on Optical Fibers Distributed Sensing
Rayleigh scattering, Raman scattering and Brillouin scattering may occur when light propagates in optical fibers. The temperature, strain and vibration on the optical fiber can affect the parameters of the scattered light. By detecting the scattered light propagating to the incident end, the temperature, strain or vibration of the optical fiber can be measured. The corresponding optical fiber-distributed sensing technologies mainly include Raman optical time domain reflectometer (ROTDR), Brillouin optical time domain reflectometer (BOTDR) [
19], and phase-sensitive optical time-domain reflectometry (φ-OTDR).
Since the Brillouin frequency shift is linear to the temperature and strain of optical fiber [
20], the temperature or strain of optical fiber can be measured based on Brillouin scattering. Similar to the point of optical fiber sensors [
20], optical fiber-distributed sensing also suffers from temperature cross-sensitivity problems. According to Equations (1) and (2), the temperature or strain that causes the Brillouin frequency shift variation can be calculated [
21].
where
l represents the distance between the spatial point and the beginning end of the optical fiber;
T(
l) and
ε(
l), respectively, are the temperature and strain at
l;
vB(
l) represents the Brillouin frequency shift at
l;
vB1 is the Brillouin frequency shift when the strain is 0 and the temperature is
T0;
T0 and
ε0 are the reference temperature and strain, respectively;
C1 and
C2 are the temperature and strain sensitivity coefficients when Brillouin frequency shift is used, respectively.
However, Equations (1) to (2) attribute the Brillouin frequency shift variation only to temperature or strain, and cannot measure temperature or strain simultaneously. To achieve simultaneous measurement, parameters such as Brillouin scattered light intensity can be introduced. The corresponding formula is shown as Equation (3) [
22].
where
δvB(
l) and
δPB(
l), respectively, are the variations in Brillouin frequency shift and scattered light intensity at
l;
C3 and
C4, respectively, are the temperature and strain sensitivity coefficients when the scattered light intensity is used.
The ratio of the anti-Stokes signal to the Stokes signal is related to temperature but it is insensitive to strain. The ROTDR technique adopts this ratio to measure temperature [
23].
where k
B is the Boltzmann constant; h is Planck’s constant; Δ
v is the Raman frequency shift;
T(
l0) is the temperature at
l0 of the optical fiber and is a known quantity.
φAS and
φST, respectively, are the anti-Stokes and Stokes luminous fluxes of the measured optical fiber;
αAS and
αST, respectively, are the attenuation coefficients of anti-Stokes and Stokes light.
Whether it is based on the combined detection method of Brillouin frequency shift and Brillouin light intensity [
24] or the Raman scattering method [
13], there have been successful reports of temperature measurement of submarine cables on site, which lays the foundation for the subsequent application of submarine cable temperature estimation methods based on ambient temperature and optical fiber temperature.
3. Thermoelectric Coupling Model of Submarine Cables and Its Validation
The submarine cable investigated in this work is a 110 kV AC single-core optic–electric composite high-voltage cable (model 110 kV YJQ41 × 300 mm
2), and its cross-section is shown in
Figure 1.
When voltage is applied to the submarine cable, the resistance of the cable conductor will be heated up. The insulation will be subjected to voltage, resulting in dielectric loss. In addition, the current in the cable conductor will form an electromagnetic field, causing current to flow through the metal shielding layer and armor, thus generating heat. The heat generated above is conducted to the cable sheath through insulation, lead alloy sheath, brass tape, armoring and PP (polypropylene) outer sheath layer, and then transmitted to distant places through the seabed and seawater by means of conduction and convection, etc.
The thermoelectric coupling model of the submarine cable is established below to obtain its temperature distribution. In order to reduce the error caused by the temperature deviation from the true value and increase the accuracy of the heat generation rate calculation of the submarine cable heating unit, the iteration improvement IEC60287 standard [
18] is adopted to obtain the heat generation rate of the metal shielding layer and armor under the given working conditions, and at the same time, the resistivity of the cable conductor at the reference temperature is calculated.
The heat generation rate
P of insulation is calculated based on Equation (5).
where
ω represents the angular frequency, that is, 100π;
C is the capacitor of the submarine cable insulation;
U is the effective value of the voltage applied to the insulation; tan
δ is the dielectric loss factor. In this case, 0.001 is taken.
The heat generation rate of the cable conductor is calculated directly in the thermoelectric coupling model. Referring to the existing temperature field modeling of power cables [
25,
26], the model structure and boundary conditions are shown in
Figure 2. There exists a thermostatic layer in the deep soil, which meets the first type of boundary conditions. The soil above the submarine cable comes into contact with seawater, and it is considered that its upper surface meets the third type of boundary conditions. When the soil on both sides of the submarine cable is relatively far from the cable, it can be considered that there is no heat exchange at the interface, which meets the second type of boundary condition. In the existing submarine cable temperature field models, the value of
d in
Figure 2 generally does not exceed 2 to 3 m [
25]. To ensure the calculation accuracy, in this work,
d is set to 5 m. Considering that the submarine cable is buried 2 m below the seabed,
d2 is 2 m, and the length of the submarine cable in the model is set to 1 m. In the model, the ambient temperature (seawater temperature) is 20 °C. Therefore, in
Figure 2,
T1 =
T2 = 20 °C, and the convective heat transfer coefficient
h of seawater is set to 200 W/(m
2·K). The ampacity is 500 A.
Several attempts were made to determine whether or not the fineness of the mesh can meet the accuracy requirements, and the meshed model is shown in
Figure 3. Note that the
z-axis coordinate represents the axial position of the submarine cable; the
x and
y-axis coordinates represent the horizontal and vertical positions in the cross-section of the submarine cable.
After loading the excitation, the finite element method was used to calculate the model, and the results are shown in
Figure 4. In order to display the temperature distribution of the submarine cable and the surrounding soil more clearly, the temperature distribution along the
x-axis and
y-axis directions through the center of the cable conductor is presented in
Figure 5. Note, however, that
R means the radius of the submarine cable.
It can be seen from
Figure 4 and
Figure 5 that the submarine cable, especially the cable conductor, reached the highest temperature, and the entire temperature field was approximately symmetrically distributed with the cable conductor as the center. The temperature drops rapidly from the conductor and then gradually tends to a stable value, but the temperature of the outer sheath of the submarine cable still rises by more than 20 °C compared with the ambient temperature. The temperature rise can still reach about 10 °C even when it is 10 times the radius of the submarine cable from the conductor. Note that, since there is soil and seawater above the submarine cable and soil below it, the temperature distribution along the
y-axis direction is asymmetrical.
To validate the above modeling methods and take into account the reliability and wide application of the IEC60287 standard, the IEC60287 standard improved by the iteration method was also adopted to calculate the temperature distribution of submarine cables under the same working conditions. The temperatures of submarine cable key parts calculated by the two methods are listed in
Table 1.
As can be seen from
Table 1, except for the surface temperature of the submarine cable, the key temperatures of other components calculated by the two methods are basically the same. The temperature differences at the center point of the cable conductor, the outer layer of the insulation, the outer layer of the lead alloy sheath, the outer layer of the HDPE sheath and the optical fiber are all no more than 0.1 °C. Based on the above results, it can be considered that the modeling method has high reliability. However, there is a slight difference between the above two methods in terms of the surface temperature of submarine cables. This might be because the (improved) IEC60287 standard uses empirical values when calculating the thermal resistance of submarine cable twisted structures, which may introduce errors, while the modeling method does not involve the above issues. Therefore, the subsequent calculation of the temperature distribution of submarine cables is obtained by using the above-mentioned thermoelectric coupling model.
4. The Relationship Between Ambient Temperature, Optical Fiber Temperature and Submarine Cable Temperature
Once the model and laying situation of the submarine cable are determined, the temperature and distribution of the submarine cable are mainly determined by the ambient temperature and the ampacity. The influence of the ambient temperature and the ampacity on the temperature of the submarine cable should be investigated. Not only the qualitative and quantitative influence laws of the temperature and its distribution of the submarine cable should be obtained, but also the foundation for the subsequent estimation of the temperature of the submarine cable should be laid. The seabed temperature of the submarine cable laying site was investigated. Meanwhile, the simulation range of seabed temperature was appropriately expanded (which would not reduce the reliability). Finally, the ambient temperature of the seabed where the submarine cable was laid varies from 0 °C to 40 °C with a step of 5 °C. According to the specification of the 110 kV YJQ41 × 300 mm
2 submarine cable, its allowable ampacity is no more than 700 A. Therefore, during the modeling and analysis, the ampacity varies from 100 to 700 A with a step of 100 A. Sixty-three thermoelectric coupling models of submarine cables under different values of ambient temperature and ampacity were established by using the modeling method in
Section 3. The temperature distribution of submarine cable cross-sections under typical parameters is shown in
Figure 6. The temperatures of optical fiber, insulation and cable conductors under different values of ambient temperature and ampacity are shown in
Figure 7. As can be seen from
Figure 7, with the increase in ambient temperature and ampacity, the temperatures of the cable conductor, insulation and optical fiber gradually increase, which is consistent with the practical situation.
The relationships between the conductor temperature, insulation temperature and ambient temperature under different values of ampacity were further obtained. Change of the conductor temperature and insulation temperature with the ambient temperature were plotted in
Figure 8. Obviously, both the conductor temperature and the insulation temperature are approximately linear to the ambient temperature. Meanwhile, the relationship was obtained by fitting Equation (6) to the ambient temperature and the obtained coefficients. The root mean square of the temperature error is shown in
Table 2. Among them,
Erms1 is the root mean square of the error. Considering that the actual submarine cable monitoring system can measure the temperature along the optical fiber, the relationship between the conductor temperature, the insulation temperature and the optical fiber temperature at different values of ambient temperature was also investigated, as shown in
Figure 9. Obviously, for any fixed ambient temperature, both the conductor temperature and the insulation temperature are approximately linear to the optical fiber temperature. Meanwhile, the relationships are obtained by fitting Equation (6) to both the calculated conductor temperature and insulation temperature. The obtained coefficients and the root mean square of the temperature errors are also shown in
Table 3.
where
TC and
TX are the conductor temperature and insulation temperature, respectively;
TA or
TF, respectively, are the ambient temperature and the optical fiber temperature;
a,
b,
c and
d are coefficients.
It can be seen from
Figure 8 and
Figure 9 as well as
Table 2 and
Table 3 that both the conductor temperature and the insulation temperature are linear to the ambient temperature and the optical fiber temperature. To further demonstrate the relationship, the change in insulation temperature, conductor temperature and ambient temperature, optical fiber temperature, respectively, are shown in
Figure 10a and
Figure 10b.
Considering that the insulation temperature and the conductor temperature are linear to the ambient temperature and the optical fiber temperature, respectively, and when both the ambient temperature and the optical fiber temperature are 0 °C, the conductor temperature and the insulation temperature must also be 0 °C (if the optical fiber temperature is equal to the ambient temperature, the ampacity must be 0). Therefore, Equations (8) and (9) are adopted to represent the conductor temperature and insulation temperature of the cable.
The relationships were obtained by fitting Equations (8) and (9) to the calculated temperatures of the conductor and insulation. The calculation formulas for the cable conductor temperature and insulation temperature obtained are shown in Equations (10) and (11), and the optimal coefficients and error statistics are presented in
Table 4.
Erms2 is the root mean square of the relative error.
The corresponding errors of the conductor temperature and insulation temperature under different ambient temperatures and optical fiber temperatures are shown in
Figure 11.
It can be seen from
Table 4 and
Figure 11 that based on Equations (9) to (11), as well as the ambient temperature and optical fiber temperature, the conductor temperature and insulation temperature of the 110 kV YJQ41 × 300 mm
2 type submarine cable can be estimated.
5. Simulation Validation of Insulation and Conductor Temperature Estimation Formulas
In order to preliminarily validate the accuracy of the obtained estimation formulas for conductor and insulation temperatures, a thermoelectric coupling model of submarine cables with different values of ambient temperatures and ampacity is established, similar to
Section 3. To enhance the reliability, the selected ambient temperature and ampacity should differ as much as possible from those in
Section 4. Finally, the ambient temperature of the seawater and seabed for laying the submarine cable varies from 2.5 °C to 42.5 °C with a step of 5 °C. The ampacity ranges from 50 to 750 A with a step of 100 A. Seventy-two thermoelectric coupling models of submarine cables with different values of ambient temperatures and ampacity were established by using the modeling method introduced in
Section 3. The conductor temperature and insulation temperature of the cable under different values of ambient temperature and optical fiber temperature are shown in
Figure 12. The estimation errors of the conductor temperature and insulation temperature under different values of ambient temperature and optical fiber temperature obtained by using Equations (10) and (11) are shown in
Figure 13. The statistical values of the estimation errors are shown in
Table 5. In the table,
Emax,
Emin,
Emean and
Estd, respectively, represent the maximum value, minimum value, mean and standard deviation of the error amplitude.
It can be seen from
Figure 13 and
Table 5 that even though the ambient temperature and ampacity are different from those used in Equations (10) and (11), the conductor temperature and insulation temperature of the 110 kV YJQ41 × 300 mm
2 submarine cable can be estimated relatively accurately based on the ambient temperature, optical fiber temperature and Equations (10) to (11), with the maximum estimation error being less than 0.15 °C. The above results preliminarily validate Equations (10) and (11).
Based on the proposed formula combined with the measured ambient temperature and optical fiber temperature, the temperatures of the conductor and insulation can be obtained. The temperature of the conductor is a key parameter affecting the ampacity. Thus, this work could lay the foundation for the prediction of the ampacity of submarine cables. Meanwhile, the lifespan of insulation is mainly determined by thermal aging, and the relationship between the lifespan of thermal aging and temperature follows the Montsinger thermal aging rule shown in Equation (12).
where
L represents the insulation thermal aging life at the actual operating temperature;
L0 is the insulation thermal aging life at the reference operating temperature;
T and
T0, respectively, are the actual operating temperature and reference operating temperature of the insulation;
α is the aging coefficient.
The thermal aging life of insulation can be predicted and the thermal aging rate of insulation can be evaluated based on Equation (12). Therefore, this work lays the foundation for the assessment of the rate and lifespan of insulation thermal aging, and the prediction of ampacity.