Effects of structure and material of polluted insulators on the wetting characteristics

Yang, Lin; Bi, Jikai; Zhang, Fei; Hao, Yanpeng; Li, Licheng; Liao, Yifan; Zhang, Fuzeng

doi:10.1049/iet-smt.2018.5069

Cited by 10 publications

(7 citation statements)

References 19 publications

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“…It was shown that compared with other parts of the insulator, the maximum temperature rise and discharges occurred in the annular area of the disc surface around a steel ball pin. In [8][9][10][11][12][13], the mechanism and characteristics of polluted flashovers of insulators were studied.…”

Section: Introductionmentioning

confidence: 99%

Research on the Interrelation between Temperature Distribution and Dry Band on Wet Contaminated Insulators

Zhang

Meng

2019

Energies

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In this paper, the interrelation between temperature distribution and dry band on wet contaminated insulators is studied by theoretical analysis, numerical simulation, and a high-voltage artificial contamination experiment. The influences of the composition of the contaminant and the relative humidity of the environment on the moisture absorption of the contamination layer are studied. It is indicated that the critical relative humidity (CRH) of the soluble mixture in the contamination layer decreases with the increase of the variety of soluble substances. This can be considered as a previously neglected reason for the inconsistency between the result of an artificial contamination test and that of a natural contamination test. Furthermore, the influences of the maximum temperature, wind speed, altitude, relative humidity, and the composition of the contamination on the water evaporation rate of the contaminated layer are also studied. The formation of dry band is predicted by studying the law of water transport in the contamination layer. The influence of the location, width, drying degree, and quantity of dry bands on the insulator surface temperature are studied by numerical simulation. An infrared thermal imager and ultraviolet camera are adopted to measure the temperature distribution and the discharge phenomenon on the insulator surface separately, which verifies the above numerical simulation. The study results deepen the research on the moisture absorption characteristics, the law of temperature distribution, the formation of dry bands, and the influence of dry bands on the temperature distribution of wet contaminated insulators.

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Section: Introductionmentioning

confidence: 99%

Research on the Interrelation between Temperature Distribution and Dry Band on Wet Contaminated Insulators

Zhang

Meng

2019

Energies

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“…Scholars have done lots of research on wetting of hydrophilic porcelain and glass insulators. The influence characteristics of pollution deposit density, temperature, humidity, temperature difference, vapor fog velocity, pollution composition, types and materials of insulators on water accumulation, wetting speed and wetting degree of hydrophilic pollution layers have been obtained [16]- [24]. Moreover, the positive correlation between the wetting degree of pollution layer and the flashover voltage of glass insulators was demonstrated [18].…”

Section: Introductionmentioning

confidence: 94%

“…Zhang et al presented that composite insulator had a lower wetting velocity than glass and porcelain insulators when they were all dried for 24 hours [16]. Yang et al further indicated that wetting velocity of composite insulator with HC7 was still less than that of hydrophilic porcelain and glass insulators [24]. These researches focus on the comparison of the wetting speed between composite insulator and hydrophilic insulator, but pay less attention to the influence of hydrophobicity on wetting characteristics.…”

Section: Introductionmentioning

confidence: 99%

Impact of Hydrophobicity on Wetting Characteristics of Composite Insulators

Hao

Yang

et al. 2020

IEEE Access

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To perfect the wetting mechanism of hydrophobic insulators, it is urgent to explore the impact of hydrophobicity on wetting characteristics of the pollution layer of composite insulators. In this paper, the wetting test of the hydrophobic pollution layer was carried out in artificial hot fog. The local surface conductivity of the pollution layer with different hydrophobicity were measured. The test results show that the local surface conductivities of different hydrophobic pollution layers are obviously different at the same wetting time. For researching the regularity of wetting process in greater detail, three characteristic quantities were proposed to represent the wetting characteristics. They are the duration of local surface conductivity close to zero (DLSCCZ), the saturated wetting time (SWT) and the maximum value of local surface conductivity (MVLSC). With the enhancement of hydrophobicity of the pollution layer, DLSCCZ and SWT increase, while MVLSC and the growth velocity of local surface conductivity both decrease.

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“…Over time, surface contamination can generate discharges that can cause tracking and generate perforations that make it necessary to replace the component [40]. Various types of contamination can increase the conductivity in the vicinity of the insulator, making it more vulnerable to discharges [41][42][43].…”

Section: Case Definitionmentioning

confidence: 99%

A Study of Multilayer Perceptron Networks Applied to Classification of Ceramic Insulators Using Ultrasound

et al. 2021

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Interruptions in the supply of electricity cause numerous losses to consumers, whether residential or industrial and may result in fines being imposed on the regulatory agency’s concessionaire. In Brazil, the electrical transmission and distribution systems cover a large territorial area, and because they are usually outdoors, they are exposed to environmental variations. In this context, periodic inspections are carried out on the electrical networks, and ultrasound equipment is widely used, due to non-destructive analysis characteristics. Ultrasonic inspection allows the identification of defective insulators based on the signal interpreted by an operator. This task fundamentally depends on the operator’s experience in this interpretation. In this way, it is intended to test machine learning applications to interpret ultrasound signals obtained from electrical grid insulators, distribution, class 25 kV. Currently, research in the area uses several models of artificial intelligence for various types of evaluation. This paper studies Multilayer Perceptron networks’ application to the classification of the different conditions of ceramic insulators based on a restricted database of ultrasonic signals recorded in the laboratory.

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Effects of structure and material of polluted insulators on the wetting characteristics

Cited by 10 publications

References 19 publications

Research on the Interrelation between Temperature Distribution and Dry Band on Wet Contaminated Insulators

Research on the Interrelation between Temperature Distribution and Dry Band on Wet Contaminated Insulators

Impact of Hydrophobicity on Wetting Characteristics of Composite Insulators

A Study of Multilayer Perceptron Networks Applied to Classification of Ceramic Insulators Using Ultrasound

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