Three‐dimensional electric field simulation and flashover path analysis of ice‐covered suspension insulators

Shu, Lichun; Liu, Yanqing; Jiang, Xingliang; Hu, Qin; He, Gaohui; Zhou, Yu; Xiao, Longfang

doi:10.1049/hve.2019.0095

Cited by 21 publications

(11 citation statements)

References 23 publications

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“…The specific conditions of the developing and elongating of partial arc for the light ice and semi-cylindrical ice insulators are derived in this section. Equations (25)- (26) are the voltage gradient E ice of the light ice and semi-cylindrical ice insulators, respectively. For semi-cylindrical ice insulators, let…”

Section: -153mentioning

confidence: 99%

“…In terms of inequalities (18) and (26), the ice layer voltage gradient E ice is less than the pollution voltage gradient E p , and then the iced insulator is more difficult to meet the modified flashover criterion than the contaminated insulator, which partial arc of the iced insulator is more difficult to develop and extend than the contaminated insulator. Compared to the light ice condition, the modified flashover criterion of the semicylindrical ice insulators is easier to be met, according to inequalities (27) and (28).…”

Section: -153mentioning

confidence: 99%

“…As shown in Figure 3, the inner and outer surfaces of the ice layer have been melted by Joule heat generated by leakage current and random partial arc. Traces of arc ablation have been produced on the inner and outer surfaces of the ice layer and the possible flashover paths were analysed based on a 3D electric field simulation [26]. After the ice flashover tests, part of the ice layer of the insulators will fall off automatically, as shown in Figure 3.…”

Section: Model Formulationmentioning

confidence: 99%

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Novel dc flashover model for predicting flashover voltage of the iced insulators

et al. 2020

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This work first proposes a novel flashover model based on the deduced residual resistance of the ice layer. The most important finding of the field icing tests is that the double‐layer ice‐melting water film exists on the inner and outer surfaces of the ice layer. The conductivity of melting water on the inner and outer surface of the ice layer has been measured, and the corresponding surface conductivity has been calculated. According to the proposed flashover model, the ratio η of the resistance of the ice layer to that of the pollution layer gradually increases with the increase of the ratio k of the resistance of the outer surfaces to that of inner surfaces, and eventually approaches saturation. Furthermore, the icing flashover criterion has been modified, and the voltage gradient of the inner surface is less than that of the outer surface. Test results show that the ice flashover voltage is lower than the pollution flashover voltage between 2.18–9.69% and 14.75–20.32% under light ice and semi‐cylindrical ice, respectively. The simulation results based on the proposed model and the classic model are compared with the field test data. Results show that the proposed model could attain a high accuracy of dc flashover voltage and demonstrate the effectiveness of the proposed model.

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Section: -153mentioning

confidence: 99%

Section: -153mentioning

confidence: 99%

Section: Model Formulationmentioning

confidence: 99%

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Novel dc flashover model for predicting flashover voltage of the iced insulators

et al. 2020

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“…Manual observation can more intuitively reflect the icing status on-site, but with large error and insufficient timeliness. Simultaneously, due to the HVTL are often located on high mountains, operation and maintenance personnel have to go deep into areas with severe ice and snow disasters, which make them in danger [7,8]. Fortunately, the system monitoring method of automatically measuring physical parameters through the monitoring terminal and transmitting them back to the monitoring centre master station via the communication network has become popular.…”

Section: Introductionmentioning

confidence: 99%

Newly designed identifying method for ice thickness on high‐voltage transmission lines via machine vision

et al. 2021

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The icing of transmission lines will bring considerable challenges to the safe operation of the power grid. Therefore, a novel method combines machine vision and machine learning algorithms for identifying the ice thickness on high-voltage transmission line (HVTL) as proposed herein. First, noise and background interference in the image are filtered, and the grey image is used as input. Then, the algorithms of improved Canny edge detection, Hough transform, improved K-means clustering, and least-squares fitting are adopted in turn to locate the edges of conductors. Finally, according to the distance mapping model based on monocular vision, the ice thickness of the conductor is determined by calculating the width difference before and after icing. The experimental results show that the proposed method can accurately locate the edge of the conductor in both field and experimental environments. Moreover, it can ensure ideal effects under different illumination and hardly not be affected by distortion in both horizontal and vertical directions. Besides, the distance mapping model can map the pixel distance to the actual distance with high precision, no matter whether the background is simple or complex, and the calculated ice thickness has only a small deviation compared to the actual value. In addition, the proposed method shows high reliability and effectiveness when various interference such as different backgrounds, uneven icing, height difference changes, conductor movement, contrast changes, and conductor sag occur.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…The flashover of ice-covered insulators seriously affects the safe operation of transmission lines [1][2][3]. Scholars at home and abroad have carried out in-depth research on the flashover mechanism and flashover model of ice-covered insulators.…”

Section: Introductionmentioning

confidence: 99%

Calculation of conductive ions distribution in icicle and melting water conductivity

Liu

Shu

et al. 2021

High Voltage

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The flashover problem of ice-covered insulators has seriously affected the safe operation of transmission lines. Numerous researches have shown that the high conductivity water film on the surface is determined by the conductive ions distribution in the icicle which is the key factor affecting the flashover voltage of ice-covered insulators. In our previous work, the conductive ions distribution in the icicle has been obtained through experiments and simulation analysis. In order to calculate the conductivity of the water film, the conductive ion-specific content at different positions in the icicle has been calculated mathematically. In addition, based on the simulation of icicle melting process, the icicle melting process is analysed, and the melting water conductivity of the icicle is calculated. Moreover, melting ice test is carried out in artificial climate chamber to verify the validity of the calculation method. The calculated results are in good agreement with the test results. The conclusion obtained here would provide theoretical basis for establishing a flashover model of ice-covered insulators. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Three‐dimensional electric field simulation and flashover path analysis of ice‐covered suspension insulators

Cited by 21 publications

References 23 publications

Novel dc flashover model for predicting flashover voltage of the iced insulators

Novel dc flashover model for predicting flashover voltage of the iced insulators

Newly designed identifying method for ice thickness on high‐voltage transmission lines via machine vision

Calculation of conductive ions distribution in icicle and melting water conductivity

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