Influence of non‐uniform hydrophobicity distribution on pollution flashover characteristics of composite insulators

Yu, Xiaoli; Zhang, Qiaogen; Yang, Xiaolei; Yang, Hao; Zhou, Jun; Liu, Bo

doi:10.1049/iet-smt.2018.5266

Cited by 11 publications

(7 citation statements)

References 21 publications

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“…[58], [59], [61], [62], [66], [68 -72], [74], [76][77][78][79], [84 -87], [90][91][92], [96], [98], [100], [116], [26], [29], [33], [37], [41], [44],…”

Section: B Eligible Studies Characteristicsmentioning

confidence: 99%

“…Based on Figure 13, SDD is the most influential factor in effecting insulation flashover voltage. This is based on the review of 47 papers [24][25][26][27][28][29], [31], [33], [34], [36], [37], [39], [40], [42], [43], [45], [46], [48][49][50][51], [54][55][56], [58][59][60], [63], [64], [66], [67], [69][70][71][72][73], [78 -81], [86], [89 -92], [96], [97], [99], [100], [120], [122], [126], [128], [130], [131], …”

Section: ) Sdd Impact On Flashover Voltagementioning

confidence: 99%

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Pollution Flashover Voltage of Transmission Line Insulators: Systematic Review of Experimental Works

et al. 2022

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Over the past decades, extensive experimental-based research works have been carried out to investigate the flashover phenomenon on the performance of polluted transmission line insulators. The critical focus has been on developing methods that can determine the safety, reliability, and sustainability of the overall power transmission network based on experimental results obtained from polluted insulators' flashover voltage tests. In this paper, a systematic review of available scientific works, published as early as the 1990s, for the analysis of pollution flashover voltage, is undertaken. The review mainly focuses on factors influencing the efficiency of transmission line insulators under polluted conditions. Specifically, publication databases utilizing various synonyms and keywords associated with the terms "contaminated insulators" and "flashover voltage test" have been scrutinized. The search has resulted in 1364 articles, from which 97 articles have satisfied the review requirements and have been subsequently analyzed to determine the parameters associated with polluted insulators. Major factors that affect the performance of insulators, including electrical and environmental impacts, are discussed. Variations in factors affecting flashover test development and insulator efficiency are also considered. Overall, the current analysis provides an important insight toward successful evaluations of the health of transmission line insulators and research advancements of electric power transmission line insulators.INDEX TERMS Flashover voltage test, polluted insulators, high voltage insulators, transmission line.

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“…[58], [59], [61], [62], [66], [68 -72], [74], [76][77][78][79], [84 -87], [90][91][92], [96], [98], [100], [116], [26], [29], [33], [37], [41], [44],…”

Section: B Eligible Studies Characteristicsmentioning

confidence: 99%

Section: ) Sdd Impact On Flashover Voltagementioning

confidence: 99%

Pollution Flashover Voltage of Transmission Line Insulators: Systematic Review of Experimental Works

et al. 2022

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“…During the operation of composite insulators, the hydrophobicity would gradually decrease due to the influences of corona, leakage current and severe environment including sunlight illumination, rain and pollution, and so on [1–3]. Loss of hydrophobicity may lead to insulation degradation and pollution flashover [4]. Therefore, hydrophobicity detection of composite insulators is essential to ensure the reliable operation of transmission lines [5].…”

Section: Introductionmentioning

confidence: 99%

Hydrophobicity Classification of Composite Insulators Based on Light‐Weight Convolutional Neural Networks

Qiu

Liu

Liao

et al. 2022

IEEJ Transactions Elec Engng

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To achieve accurate and rapid measurement of the hydrophobicity class (HC) of composite insulators, an intelligent spray image recognition technique based on light‐weight convolutional neural networks (CNN) is proposed in this paper. A spray image data set contains clean, contaminated and aged insulators with various illuminations, shooting angles and distances, about 10 400 images of shed surface were collected by spray tests and data augmentation. Five classification models were established by different CNNs, including GoogLeNet, ResNet101, ShuffleNet 0.5×, ShuffleNet 0.25× and MobileNet V2, while the first four of them were pre‐trained by ImageNet dataset. These models were trained, validated and tested by spray image data set. Six indexes were designed to evaluate each model and the discriminative regions for classification were visualized by gradient weighted class activation mapping (Grad‐CAM) method. The results show that these models can effectively recognize spray images with HC1–HC7 and the light‐weight ShuffleNet 0.5× has the best performance, with the classification accuracy of 97.09% for 2022 test images. The Grad‐CAM visualizations indicate that the results have high reliability. This study can provide reference for on‐line detection and intelligent identification of hydrophobicity levels of composite insulators. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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“…In the research of electrical field, Yu et al [6] found that the non-uniform hydrophobic loss may lead to the further reduction of flashover voltage, which is 26.5% lower than that of uniform hydrophilicity. Sarang et al [7] simulated the influence of single water droplet and multiple water droplets on the surface electrical field of silicon rubber insulators, and the results showed that the existence of water droplets increased the probability of wet flashover.…”

Section: Introductionmentioning

confidence: 99%

Influence of Electrical Field Distortions Induced by Water Droplets on the Contamination Characteristics of an Insulator

Lv¹,

Wang²,

Wang³

2021

Fluid Dynamics &Amp; Materials Processing

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When separated water droplets condense on the surface of a composite insulator, the electrical field on the insulator surface is distorted. In turn, such distortions change the trajectories of pollution particles. In this study, the COMSOL software is used to simulate such a process for the FXBW4-10/100 composite insulator with or without water droplets condensation under a 10 kV DC voltage. The influence of the wind speed and particles concentration on the contamination characteristics of the considered 110 kV insulator is analyzed. The results show that: 1) in the presence of water droplets on the insulator surface, the ratio of electrical field force and gravity acting on the particles is large; 2) the contamination on the insulator surface increases with the wind speed; 3) when the wind speed is small, the relationship between the contamination amount and the pollution concentration is essentially linear.

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Influence of non‐uniform hydrophobicity distribution on pollution flashover characteristics of composite insulators

Cited by 11 publications

References 21 publications

Pollution Flashover Voltage of Transmission Line Insulators: Systematic Review of Experimental Works

Pollution Flashover Voltage of Transmission Line Insulators: Systematic Review of Experimental Works

Hydrophobicity Classification of Composite Insulators Based on Light‐Weight Convolutional Neural Networks

Influence of Electrical Field Distortions Induced by Water Droplets on the Contamination Characteristics of an Insulator

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