Thermal Effect of Different Laying Modes on Cross-Linked Polyethylene (XLPE) Insulation and a New Estimation on Cable Ampacity

Zhu, Wenwei; Zhao, Yifeng; Han, Zhuozhan; Wang, XiangBing; Wang, Yan-Feng; Liu, Gang; Xie, Yue; Zhu, Ningxi

doi:10.3390/en12152994

Cited by 15 publications

(18 citation statements)

References 30 publications

(34 reference statements)

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“…The XLPE insulating state of oxidation and decomposition can be judged by carbonyl index (CI) and unsaturated band index (UBI) from FTIR spectra. The definition of these two indexes are as followed [9]:…”

Section: A Results Of Xlpe Physicochemical Parameters Measurement 1) mentioning

confidence: 99%

“…Chemical composition of the XLPE may alter under different stresses over a period of time. Consequently, some of its properties may alter and produce limitation on the cable ampacity and diminution of effective service life for the cables [9].…”

Section: Introductionmentioning

confidence: 99%

“…In fact, previous research [13], [14] have found that the measured values of thermal resistance and thermal capacity of XLPE are different distinctly from the results of IEC standard. Moreover, it is reported that thermal parameters of the XLPE differ from the operating period of cables [9]. For the purpose of acquiring a better comprehension of the connection between cable ampacity and aging mechanism, it is meaningful to explore the potential connection between thermal parameters and insulating state of XLPE.…”

Section: Introductionmentioning

confidence: 99%

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Correlation Between Thermal Parameters and Morphology of Cross-Linked Polyethylene

et al. 2020

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This paper reveals a correlation between morphology and thermal parameters on cross-linked polyethylene (XLPE) cable with different insulating states. Several cables were selected to detect the physicochemical and thermal parameters of the XLPE. The results show that the cable ampacity is determined by the thermal parameters, which are deeply subjected to the morphology of the XLPE. The molecular chain and crystal structure of the XLPE have a close connection with the thermal resistivity. The physicochemical parameters of carbonyl index (CI) and unsaturated band index (UBI) from Fourier transform infrared spectrum (FTIR) and melting range (R m) from differential scanning calorimetry (DSC) can be the indicator to evaluate the diversity of the thermal resistivity. The change of thermal capacity is governed by the crystal distribution of the XLPE. The physicochemical parameters of crystallinity (χ) and lamellar thickness (L) from DSC can be the indicator to evaluate the change of the thermal capacity. In addition, FWHM of the crystallization peak W , crystalline rate index (T 0-T P) and cross-linking degree (G) can also be the indicator of the thermal parameters. Finally, this paper proposes a more accurate on-line monitoring method for electric power industry by detecting thermal parameters to diagnose the operating cables in the practical application.

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Section: A Results Of Xlpe Physicochemical Parameters Measurement 1) mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Correlation Between Thermal Parameters and Morphology of Cross-Linked Polyethylene

et al. 2020

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“…Since 1957, the publication year of the seminal paper by Neher and McGrath [1], much attention was paid by the engineering community to the problems related to computations of current distribution in such systems [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Current distribution in multi-strand cable systems is uneven due to several factors, to mention skin and proximity effects related to strand geometry [3,5], the conditions of heat exchange with neighborhood [8,18,19], soil inhomogeneity, moisture, installation depth (if the cables are buried) harmonic spectrum of currents flowing through the cables [11], the presence of buried metal objects etc., to mention but a few. Analytical treatment of all these factors is hardly possible [20], therefore numerical methods, in particular the Finite Element and the Finite Volume methods, have found wide use for engineering purposes.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Spatial Configuration of Multi-Strand Cable Lines

Cywiński¹,

Chwastek²,

Kusiak³

et al. 2020

Preprint

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Skin and proximity effects have a considerable impact on current distribution in multi-strand cable lines. Under unfavorable heat exchange conditions some strands may be subject to excessive overheating, what may lead to serious malfunctions or even fires of the installation. The paper proposes a new criterion for a quick choice of spatial configurations, for which the effect might be minimized. A comprehensive analysis of literature cases is provided, including the recommendations of the U.S. National Code and the Canadian standard.

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“…Yang et al proposed a new method for determining the connection resistance of the compression connector in a cable joint and evaluated the crimping process defects using coupling field analysis [16,17]. Zhu et al evaluated the thermal effect of different laying modes on XLPE insulation and estimated the cable ampacity [18]. Most existing methods adopted the thermal or ultrasonic signal as the indicator to detect the internal defects of cable joints [19,20].…”

Section: Introductionmentioning

confidence: 99%

Charge-Simulation-Based Electric Field Analysis and Electrical Tree Propagation Model with Defects in 10 kV XLPE Cable Joint

Cui

2019

Energies

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The most severe partial discharges and main insulation failures of 10 kV cross-linked polyethylene cables occur at the joint due to defects caused by various factors during the manufacturing and installation processes. The electric field distortion is analyzed as the indicator by the charge simulation method to identify four typical defects (air void, water film, metal debris, and metal needle). This charge simulation method is combined with random walk theory to describe the stochastic process of electrical tree growth around the defects with an analysis of the charge accumulation process. The results illustrate that the electrical trees around the metal debris and needle are more likely to approach the cable core and cause main insulation failure compared with other types of the defects because the vertical field vector to the cable core is significantly larger than the field vectors to other directions during the tree propagation process with conductive defects. The electric field was measured around the cable joint surface and compared with the simulation results to validate the calculation model and the measurement method. The air void and water film defects are difficult to detect when their sizes are less than 5 mm3 because the field distortions caused by the air void and water film are relatively small and might be concealed by interference. The proposed electric field analysis focuses on the electric field distortion in the cable joint, which is the original cause of the insulation material breakdown. This method identifies the defect and predicts the electrical tree growth in the cable joint simultaneously. It requires no directly attached or embedded sensors to impact the cable joint structure and maintains the power transmission during the detection process.

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Thermal Effect of Different Laying Modes on Cross-Linked Polyethylene (XLPE) Insulation and a New Estimation on Cable Ampacity

Cited by 15 publications

References 30 publications

Correlation Between Thermal Parameters and Morphology of Cross-Linked Polyethylene

Correlation Between Thermal Parameters and Morphology of Cross-Linked Polyethylene

Optimization of Spatial Configuration of Multi-Strand Cable Lines

Charge-Simulation-Based Electric Field Analysis and Electrical Tree Propagation Model with Defects in 10 kV XLPE Cable Joint

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