Thermal analysis of high‐voltage cables with several types of insulation for different configurations in the presence of harmonics

Shazly, J. H.; Mostafa, Mohamed A.; Ibrahim, Doaa Khalil; Zahab, Essam E. Abo El

doi:10.1049/iet-gtd.2016.0862

Cited by 17 publications

(18 citation statements)

References 18 publications

(30 reference statements)

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“…Unlike the electrical, thermal analysis studies performed in previous high voltage and current values [6,7,11], electrical, thermal and mechanical analysis of the cable joints made with screw connection terminals produced for use in 220-volt voltage values have been performed in this study. When the results obtained from the numerical model and the experimental study are compared, the experimental values of temperature changes in cable joints made with screws tightened by applying the 0.3 Nm, 0.4 Nm, 0.5 Nm force to copper conductor cable having 1.5 mm 2 cross-sectional area were same with the In order to achieve the minimum cable section deformation and the minimum temperature increase with the numerical model, the optimum torque value applied to the screw were found as 0.4 Nm.…”

Section: Discussionmentioning

confidence: 99%

“…Figure 12 shows that the current density increases on the outer surface of the cable. Shazly Jehan H. et al [7] studied three-phase, XLPE-insulated 220 kV, 340 MVA, single-core copper power underground cable components and the highest values of temperature distributions in the surrounding environment occur with the highest temperature seen in the regions where the work occurs. Zhou et al [11] reported that the electric field concentration of the electric field was higher than the cable joint but the electric field concentration was found tended to intensify in the small cavities in the inserts.…”

Section: Discussionmentioning

confidence: 99%

“…Cable joints are among the most important factors affecting the maximum current carrying value of cables [7]. In order to place transmission lines, which are used especially in high voltage, under ground cable parameters [8] and environmental parameters are determined [9].…”

Section: Introductionmentioning

confidence: 99%

“…Finite element method is widely used for static electrical field analysis in cable joints [11,12]. Shazly Jehan H. et al [7] Have used COMSOL Multiphysics software to evaluate three-phase underground cable, steady state and transient thermal performance. Both analytical and numerical methods have been developed in cables to calculate distribution of temperature caused by current.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Electrical-Thermal-Mechanical Analysis of Cable Connection with Screw-Connected Terminal Strips Using Finite Element Method

Tosun

Aksoy

2021

Sakarya University Journal of Computer and Information Sciences

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Electric energy passes through many stages from production to usage, and many electrical connections take place at these stages. Electrical connections are quite important for system safety and electrical energy quality. In this study, current-temperature relationship in the cable was investigated in cable joints made with screw connection terminals, depending on torque applied to screw. In numerical solution of the problem, Comsol Multiphysics program based on Finite Element Method was used first, the screw-conductor interface was investigated based on applied torque, and then electrical-thermal analysis was performed on this geometry. Experimental studies were carried out to demonstrate accuracy of digital model, and conductors and terminals used in household installations were taken into account in these studies. Amount of deformation of conductors depending on torque applied to screw and its effect to current carrying capacity of these terminals having screw connection were investigated. In this study, the appropriate torque value is 0.4 Nm, and the maximum temperature value is 45 o C on contact surface. Also, it has been shown that the optimum torque value to be applied in the copper conductor cable joint with 1.5 mm 2 cross section area is 0.4 Nm.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Electrical-Thermal-Mechanical Analysis of Cable Connection with Screw-Connected Terminal Strips Using Finite Element Method

Tosun

Aksoy

2021

Sakarya University Journal of Computer and Information Sciences

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“…Prematurely disconnected power supply in the distribution network almost always results in a loss of the energy supply, increased costs of managing and maintaining costs, unsatisfied customers and the ultimate loss of economic gain. According to ASNT (the American Society for Non-destructive Testing), failure of electrical equipment accounts for about 30% of the cost, as established by primary and engineering companies after a loss analysis [8].…”

Section: Electromagnetic Components Of Thermal Analysismentioning

confidence: 99%

Deep Learning Method and Infrared Imaging as a Tool for Transformer Faults Detection

Mlakić¹,

Nikolovski²,

Majdandžić³

2018

JEE

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In behaviour recognition, the development of the DL (Deep Learning) method introduced massive improvements in the field of artificial intelligence, where DL represents an upgrade of the present ANN (artificial neural network) architecture. Deep Learning as a comprehensive new field of artificial intelligence completely covers the neural networks architecture that is devised to carry out certain forms of identification, such as behaviour, forms of things, trends, similarities in complex forms, etc. Regarding thermography in energy, the cases used to illustrate this are photographs of active energy components in the plant. Failures that are seen with thermography cannot be recognized by other methods. However, an expert needs to do segmentation of focusing and classification of failures. The need for daily sampling and expert work is growing. With the DL method, it can be done in real time any time. One of the popular network architectures for using DL in image analysis is the recognition algorithm-CNN (convolution neural network). Traditional artificial intelligence methods require determining factors and computations, leading to training algorithm. Machine learning has important features as well as the right weight to make decisions about new input data. This work presents DL as a flexible and adaptive method for the analysis of thermal images of energy facilities, as well as a tool used for the construction and implementation of an efficient fault analysis on the 10/0.4 kV service transformer.

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Thermal analysis of the influence of harmonics on the current capacity of medium‐voltage underground power cables

Gouda

Dein

Eldin

et al. 2023

Energy Science & Engineering

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In this article, an algorithm is proposed and used to study the influence of harmonics on the behavior of medium‐voltage underground cables in flat formation. The proposed algorithm is a thermal model based on the heat equilibrium of the thermal circuit nodes of the medium‐voltage cable system. The impact of harmonics on the temperature rise of the cable elements and the cable capacity is evaluated in this article. Also, the impact of harmonics on the derating factors of cable for different soil types is presented. Finally, the measurement of temperatures of cable cores is carried out experimentally and compared with the calculated results to validate the proposed algorithm. One of the algorithm merits is that several harmonic percentages can be taken into account for each cable phase individually, and the heat exchange between the cable phases and their sheath is also taken into consideration. From the obtained results, it is illustrated that the presence of harmonics has a remarkable influence on the cable core temperature; mainly, harmonics of the third and fifth orders may lead to dry zone formation around the cable. It is also observed that the presence of harmonics has an important influence on the cable current, especially when it is buried in soil that has high thermal resistivity during the summer season (suction tension = ∞). In summer, the cable core temperature reached 152.162°C, 139.053°C, and 133.375°C when lime, sand, and silty sand, respectively, are used as backfill materials, rather than 90°C in the normal operating condition of the 11 kV three‐phase single‐core cable. It is observed also that with the increase of the soil thermal resistivity, the ratio of /) reached about 1.2 times at 2.5 K m/W soil thermal resistivity. In addition, it is also observed that the impact of harmonics leads to a percentage reduction in the derating factor of the cable center phase by 11.88%–12.37% depending on the composition of the backfill materials.

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Thermal analysis of high‐voltage cables with several types of insulation for different configurations in the presence of harmonics

Cited by 17 publications

References 18 publications

Electrical-Thermal-Mechanical Analysis of Cable Connection with Screw-Connected Terminal Strips Using Finite Element Method

Electrical-Thermal-Mechanical Analysis of Cable Connection with Screw-Connected Terminal Strips Using Finite Element Method

Deep Learning Method and Infrared Imaging as a Tool for Transformer Faults Detection

Thermal analysis of the influence of harmonics on the current capacity of medium‐voltage underground power cables

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