Non-debye dielectric behavior of aged XLPE cable insulation

Zhang, Yuanyuan; Wu, Kangning; Zhao, Chun; Xiang, Jiao; Li, Jianying; Li, Shengtao

doi:10.1109/icpadm.2018.8401040

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…Using transmission theory to model the transmission characteristics of cable channels can be combined with the bottom-up modelling idea. During modelling, the topological structure of the power grid and the corresponding cable parameters shall be determined first, and then the voltage ratio between the signal transmitting terminal (TX) and the signal receiving terminal (RX) shall be calculated, as shown in formula (1).…”

Section: Power Line Channel Modelling Based On Transmission Line Theorymentioning

confidence: 99%

“…With the development of the smart grid and the increasing demand for electricity, the requirements for power quality are becoming more and more stringent. It is necessary to monitor the operation status of cables in time to ensure their safe operation [1]. However, the traditional cable monitoring technology can no longer meet the needs of today's smart grid era.…”

Section: Introductionmentioning

confidence: 99%

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Abnormal line loss identification system of low voltage distribution network based on HPLC communication technology

Tang¹,

Chang²,

Liang³

et al. 2023

The Journal of Engineering

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Power cable is mainly responsible for the transmission and distribution of electric energy in the power grid. The performance of a power cable greatly affects the reliability and security of the power supply. In order to solve the problem of cable aging caused by longterm operation and various internal and external factors, this paper proposes an abnormal line loss identification method for a low-voltage distribution network station area, aiming at focusing on the monitoring of cable aging. The transmission characteristic model based on the transmission line theory and the dielectric constant model of the aging cable insulation layer is established, and the internal relationship between the transmission characteristic and the aging characteristic is analyzed. The characteristic extraction algorithm is used to extract the characteristics of the transmission characteristic curve. Through simulation analysis, for the abnormal line loss fault, the location accuracy of different fault locations is basically at the level of 0.1-0.3%. The simulation of local defects in the cable shows that the change of material dielectric constant is more clear for the characterization of cable aging. The monitoring method in this paper is helpful to provide the relevant basis for the line maintenance plan and the operation strategy of the power grid and is of great significance to ensure the safe and stable operation of the power grid.

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Section: Power Line Channel Modelling Based On Transmission Line Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Abnormal line loss identification system of low voltage distribution network based on HPLC communication technology

Tang¹,

Chang²,

Liang³

et al. 2023

The Journal of Engineering

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“…The most-studied property of XLPE is its dielectric loss coefficient tan(delta) [2,4,8,9,[12][13][14][15][16][17][18][19][20][21]23,27,33,34,39,[41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58]. Authors have analyzed the effects of frequency, aging time, cable life, voltage test, and temperature on the tan(delta) distribution and value.…”

Section: Introductionmentioning

confidence: 99%

Electric Field Distribution and Dielectric Losses in XLPE Insulation and Semiconductor Screens of High-Voltage Cables

Nadolny

2022

Energies

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This article presents the electric field distribution E and dielectric losses ΔPdiel. in the insulation system of high-voltage cables. Such a system consists of inner and outer semiconductor screens and XLPE insulation. The aim of this study was to compare the values of E and ΔPdiel. between semiconductor screens and XLPE insulation. The objects of the research were high-voltage cables of 110 kV, 220 kV, 400 kV, and 500 kV. The geometrical dimensions of the cables, especially the radii of individual layers of insulation, as well as the electrical properties of the screens and XLPE, were taken from the literature. Semiconductor screens and XLPE insulation were treated as a system of three concentric cylinders. When determining the electric field distribution, both the electrical permittivity and electrical conductivity, which, in the case of semiconductor screens, play important roles, were taken into account. The obtained results prove that both the electric field distribution E and dielectric losses Pdiel. are significantly larger in XLPE insulation than in semiconductor screens. The intensity E in XLPE insulation is about four orders of magnitude greater than the intensity in semiconductor screens. Dielectric losses ΔPdiel. in XLPE insulation are about eight orders of magnitude greater than the losses occurring in semiconductor screens.

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“…The elongation at break which is a key parameter for XLPE cable insulation was found to decrease as thermal ageing proceeded [11]. The electrical breakdown strength decreased with the ageing degree while the conductivity and dielectric loss increased [12,13]. Thermal properties of XLPE cable insulation can be studied by differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA).…”

Section: Introductionmentioning

confidence: 99%

Influence of Oxygen Diffusion on Thermal Ageing of Cross-Linked Polyethylene Cable Insulation

Zhang

Hou

et al. 2020

Materials

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Thermal ageing of cross-linked polyethylene (XLPE) cable insulation is an important issue threatening the safe operation of power cables. In this paper, thermal ageing of XLPE was carried out at 160 °C in air for 240 h. The influence of oxygen diffusion on thermal ageing of XLPE was investigated by Ultraviolet–visible spectrophotometer (UV–Vis), tensile testing, and Fourier transformed infrared spectroscopy (FTIR). It was observed that the degradation degree not only depended on ageing time but also on sample positions. The thermally aged samples were more oxidized in the surface region, presented a darker color, more carbon atoms appeared in the conjugate cluster, had smaller elongation at break and tensile strength, and a larger carbonyl index. As ageing time increased, the non-uniform oxidation of the XLPE samples became more prominent. The degree of non-uniform oxidation caused by oxygen diffusion was quantitatively studied by first order oxidation kinetic. The calculated results demonstrated that carbonyl index measured by FTIR was more sensitive to non-uniform oxidation with a shape parameter in the range of 1–2. The result shown in this paper is helpful for interpreting and predicting the non-uniform ageing behavior of high voltage XLPE cables.

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Non-debye dielectric behavior of aged XLPE cable insulation

Cited by 5 publications

References 11 publications

Abnormal line loss identification system of low voltage distribution network based on HPLC communication technology

Abnormal line loss identification system of low voltage distribution network based on HPLC communication technology

Electric Field Distribution and Dielectric Losses in XLPE Insulation and Semiconductor Screens of High-Voltage Cables

Influence of Oxygen Diffusion on Thermal Ageing of Cross-Linked Polyethylene Cable Insulation

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