Development of 500-kV XLPE cables and accessories for long-distance underground transmission lines. V. Long-term performance for 500-kV XLPE cables and joints

Kaminaga, K.; Ichihara, Masaki; Jinno, Mitsuo; Fujii, Osamu; Fukunaga, S.; Kobayashi, Masatomo; Watanabe, Kazuo

doi:10.1109/61.517470

Cited by 17 publications

(9 citation statements)

References 2 publications

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“…The Crosslinked polyethylene (XLPE) cable has been widely used in modern power system due to the excellent electrical properties, good mechanical properties and stable chemical properties [1][2][3][4][5][6][7]. Some cable accidents, especially the insulation breakdown caused by the buffer layer discharge, have occurred frequently in recent years, which seriously affected the stable operation of the power transmission system.…”

Section: Introductionmentioning

confidence: 99%

An investigation on discharge fault in buffer layer of 220 kV XLPE AC cable

Kong

et al. 2021

IET Science Measure & Tech

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Discharge failure mechanism of the cable buffer layer is investigated in this paper by the analysis of causes and characteristics of partial discharge (PD) behaviours in the case of failure. The obtained results show that both the volume resistivity and the surface resistance of the buffer layer increase as the relative humidity is elevated. It is found that the electric field distribution inside the buffer layer is distorted when there is poor contact condition and aggravated with the increase of the volume resistivity by the finite element analysis. PD behaviours analysis shows that the PD intensity is closely related to the contact state of the buffer layer, and hence the latter can be reflected by statistical parameters like the maximum pulse amplitude and the average equivalent frequency. The conclusions indicate that the electric field distortion is caused by the variation of the contact state of the buffer layer and the deterioration, which is responsible for the occurrence of PD. Therefore, the PD detection for the suspected faulty cables provides an effective method for the state evaluation of the buffer layer.

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Section: Introductionmentioning

confidence: 99%

An investigation on discharge fault in buffer layer of 220 kV XLPE AC cable

Kong

et al. 2021

IET Science Measure & Tech

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“…With the development of high-voltage direct-current (HVDC) transmission technology and the continuous improvement of voltage levels, the performance of silicone rubber (SiR) for cable accessories is far from keeping up with the demand. Furthermore, the breakdown rate of cable accessories is much higher than that of the cable body [ 1 , 2 , 3 , 4 , 5 ]. Therefore, it is necessary to improve the dielectric properties of SiR.…”

Section: Introductionmentioning

confidence: 99%

Moisture Absorption Characteristics of Nanoparticle-Doped Silicone Rubber and Its Influence Mechanism on Electrical Properties

et al. 2021

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To further explore the long-term stability of nano-dielectrics, experiments were carried out to investigate the moisture absorption characteristics and electrical properties of silicone rubber (SiR) doped with different inorganic nanoparticles. Thermogravimetric analysis (TGA) is utilized to research the moisture absorption characteristics including mass fraction and binding forms. The trap depth and electron orbitals are calculated by density functional theory to explain the influence mechanism of water molecules on SiR. It is found that the addition of nanoparticles will increase the moisture content of SiR. Additionally, the nano-TiO2-doped SiR absorbs more water and binds with water relatively more loosely than nano-Al2O3. There is a degradation of space charge inhibition capability and breakdown strength after moisture absorption, which might be explained by shallow traps brought by water molecules and the narrowed forbidden bandwidth of SiR.

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“…HVDC (High Voltage Direct Current) transmission has the advantages of low line cost, not being restricted by synchronous stability problems, thus the project of DC cable has developed rapidly in recent years [1][2][3]. With the excellent performance of DC cross-linked polyethylene (XLPE) cables, the usage of XLPE cables has gradually outstripped the oil-filled and impregnation paper cables since its first adoption in Sweden [4]. In order to improve the stability and reliability of DC transmission, technology such as online detection and condition evaluation of cables as well as accessories has become a great concern for scholars.…”

Section: Introductionmentioning

confidence: 99%

Pattern Recognition of DC Partial Discharge on XLPE Cable Based on ADAM-DBN

Jiang

2020

Energies

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Pattern recognition of DC partial discharge (PD) receives plenty of attention and recent researches mainly focus on the static characteristics of PD signals. In order to improve the recognition accuracy of DC cable and extract information from PD waveforms, a modified deep belief network (DBN) supervised fine-tuned by the adaptive moment estimation (ADAM) algorithm is proposed to recognize the four typical insulation defects of DC cable according to the PD pulse waveforms. Moreover, the effect of the training sample set size on recognition accuracy is analyzed. Compared with naive Bayes (NB), K-nearest neighbor (KNN), support vector machine (SVM), and back propagation neural networks (BPNN), the ADAM-DBN method has higher accuracy on four different defect types due to the excellent ability in terms of the feature extraction of PD pulse waveforms. Moreover, the increase of training sample set size would lead to the increase of recognition accuracy within a certain range.

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Development of 500-kV XLPE cables and accessories for long-distance underground transmission lines. V. Long-term performance for 500-kV XLPE cables and joints

Cited by 17 publications

References 2 publications

An investigation on discharge fault in buffer layer of 220 kV XLPE AC cable

An investigation on discharge fault in buffer layer of 220 kV XLPE AC cable

Moisture Absorption Characteristics of Nanoparticle-Doped Silicone Rubber and Its Influence Mechanism on Electrical Properties

Pattern Recognition of DC Partial Discharge on XLPE Cable Based on ADAM-DBN

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