Study on the difference of chemical composition of insulator contamination on UHV‐AC and ‐DC transmission lines

Li, Lee; Jiang, Yunpeng; Lu, Ming; Liu, Zehui; Kui, Hua; Li, Zhe

doi:10.1049/iet-smt.2017.0102

Cited by 18 publications

(9 citation statements)

References 28 publications

(27 reference statements)

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“…With the rapid development of industry and agriculture, the environment of insulators has become more complicated. Thus, once a pollution flashover accident occurs, it will lead to greater damage [4][5][6]. In order to ensure a safe and reliable operation of the power system, power supply utilities are required to test the pollution degree of insulators regularly to formulate cleaning and replacement schemes [7].…”

Section: Introductionmentioning

confidence: 99%

Method for detecting the pollution degree of naturally contaminated insulator based on hyperspectral characteristics

et al. 2021

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Insulator pollution degree detection is of great significance for preventing a flashover. Equivalent salt deposit density, leakage current, and surface pollution layer conductivity are commonly used to describe insulator pollution degree; however, all these parameters have limitations in field application and real-time monitoring. Non-contact detection methods, such as infrared thermal imaging and ultraviolet imaging, only image insulators in a specific band, which makes the extracted features limited. Hyperspectral technology is the new comprehensive image data technology based on imaging spectroscopy that has the advantages of multiband high resolution. Therefore, a method based on hyperspectral image and spectral characteristics is proposed to fully characterize natural pollution information and accurately detect the pollution degree of insulators. The hyperspectral spectral line characteristics, image texture, and colour characteristic data of insulators were extracted and fused and then used to establish the pollution degree detection model on the basis of integrated learning classification algorithms. The results show that the model based on fusion data has an accuracy rate of 95.0%, which is more accurate than the model based on spectral line features only. Consequently, hyperspectral technology can realize the non-contact detection of pollution degree and provide some guidance for cleaning the contamination of external insulation.

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Section: Introductionmentioning

confidence: 99%

Method for detecting the pollution degree of naturally contaminated insulator based on hyperspectral characteristics

et al. 2021

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“…It was found that flashover was determined by many factors such as insulator shed type, insulator string orientation, voltage polarity, altitude, test method, icing, pollution, etc. [6][7][8][9][10][11][12][13]. Among them, pollution was considered as one of the most decisive [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…[6][7][8][9][10][11][12][13]. Among them, pollution was considered as one of the most decisive [6][7][8]. According to the previous studies, it was indicated that the flashover voltage of the insulator was closely related to the surface contamination and its wetness.…”

Section: Introductionmentioning

confidence: 99%

Temporal and spatial characteristics of soluble salt components accreted on the insulator surface

Cao

Chen

Yin

et al. 2020

IET sci. meas. technol.

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Due to the differences in typical pollution sources, the soluble salt composition deposited on the naturally contaminated insulators varies with the region. As different soluble salts have different effects on the pollution flashover voltage of insulators, it is necessary to investigate the spatial and temporal distribution of the soluble salt composition deposited on the insulator surface to make the external insulation design more scientifically and reasonably. In this study, an artificial contamination test platform was built to collect the contamination naturally deposited on the specimens. The test results showed that the contamination composition deposited on the specimen was similar to that in the atmosphere, and the inclination angle of the specimen and the duration of pollution deposition had little influence on the contamination composition. After examining the industrial post insulators from actual substations, it was found that the contamination composition was almost the same for different insulator surface materials, insulator shed types, and voltage polarities. It was also found that the deposited contamination was mostly influenced by pollution sources. The results can provide a reference for the studies of pollution distribution of natural insulators.

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“…Outdoors line insulators are inevitably polluted by airborne particles in operation [1,2]. Dry polluted insulators cannot cause flashover, but in fog, rain, and high-humidity conditions, the pollution layer will rapidly absorb moisture and the electrolytes will dissolve [3,4].…”

Section: Introductionmentioning

confidence: 99%

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

Yang

Zhang

et al. 2019

IET Science, Measurement & Technology

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Study on the difference of chemical composition of insulator contamination on UHV‐AC and ‐DC transmission lines

Cited by 18 publications

References 28 publications

Method for detecting the pollution degree of naturally contaminated insulator based on hyperspectral characteristics

Method for detecting the pollution degree of naturally contaminated insulator based on hyperspectral characteristics

Temporal and spatial characteristics of soluble salt components accreted on the insulator surface

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

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