Experimental investigation on composite insulators AC flashover performance with fan-shaped non-uniform pollution under electro-thermal stress

Savadkoohi, Ehsan Mohammadi; Mirzaie, Mohammad; Seyyedbarzegar, Seyyedmeysam; Mohammadi, Mohsen; Khodsuz, Masume; Pashakolae, Mehrdad Ghorbani; Ghadikolaei, Milad Biazar

doi:10.1016/j.ijepes.2020.106142

Cited by 37 publications

(8 citation statements)

References 28 publications

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“…Ems et al [11] aged composite insulators via an artificial polymer aging test. The surfaces of unaged composite insulators, as well as composite insulators aged for 2, 4, and 6 weeks, were photographed using scanning electron microscopy, as shown in Figure 8a [11].…”

Section: The Scanning Electron Microscopy (Sem) Methodsmentioning

confidence: 99%

“…They were made in England using the tempering procedure, and have been widely used worldwide [2]. However, during long-term operation, because of environmental pollution such as foggy weather [3][4][5], algae pollution [6][7][8] (Figure 1h,i [6]), and bird droppings [9,10], pollutants can adhere to the surfaces of insulators (Figure 1e-g [11]), which could reduce the dielectric strength of insulators and lead to fouling and flashing accidents [11]. In order to reduce the occurrence of pollution flashover accidents, researchers began to conduct experimental research on composite materials.…”

Section: Introductionmentioning

confidence: 99%

“…However, silicone rubber composite insulators are made of organic materials. Under the interaction of strong electric fields, air corrosion, ultraviolet radiation, fouling, and rainwater, the surfaces of composite insulators will age (Figure 1k-m [11]), resulting in reduced hydrophobicity [45,46], and consequently, severe pollution flashover of transmission lines [47]. At the same time, it will also result in insulator depolymerization, tracking, erosion, and reduction of dielectric and mechanical strength [48,49].…”

Section: Introductionmentioning

confidence: 99%

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Research Progress of Self-Cleaning, Anti-Icing, and Aging Test Technology of Composite Insulators

Zhang

et al. 2022

Coatings

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Composite insulators are widely used in power systems because of their advantages of light weight, good pollution resistance, and high mechanical strength. With the increasingly serious environmental pollution problem, especially in winter at high latitudes, composite insulators are easily affected by fog, bird droppings, algae, and icing. Long-term exposure to the outdoor insulator surface will cause aging, which will then pose ae potential safety hazard to the stable operation of insulators. Therefore, the self-cleaning, anti-icing, and aging test technologies of composite insulators are particularly important. This paper introduces the research progress and current situation of self-cleaning, anti-icing surface preparation, and aging test technology of composite insulators, and looks forward to the future development of composite insulators.

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Section: The Scanning Electron Microscopy (Sem) Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research Progress of Self-Cleaning, Anti-Icing, and Aging Test Technology of Composite Insulators

Zhang

et al. 2022

Coatings

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“…Regular washing and replacement of conventional insulators with glaze insulators is a solution to prevent their failure. [2][3][4][5][6][7] The difference between the dew point and the insulator surface temperature is the primary reason of the moisture condensation on the polluted insulator surface (Figure 1). This temperature difference can be covered by modifying the housing material by adding conductive additives (e.g., carbon nanotubes, ZnO, and carbon black) to the silicone matrix.…”

Section: Introductionmentioning

confidence: 99%

Electrical Conductivity Modeling and Fabrication of Carbon Nanotubes/Silicone Rubber Composites for High Voltage Insulators in Regions With a Polluted Atmosphere

Mohammadnabi

Rahmani

Moghaddam

2022

Journal of Reinforced Plastics and Composites

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The condensation mechanism of the insulators’ surface, increase the surface electrical conductivity. The electrical conductivity of the insulator creates a high level of leakage current and causes the failure. Difference between the dew point and the surface temperature of the insulator which occur due to radiative cooling mechanism, is the major reason of the moisture condensation on the polluted insulator surface. To compensate for the temperature difference, carbon nanotubes (CNTs) are being added to the silicone rubber housing material. The main idea of this research is based on generating joule heating by reducing the surface resistance of high voltage insulators. For this purpose, a developed model based on Halpin–Tsai formulation for tensile modulus of nanocomposites is joined with the conventional power-law model for the effective electrical conductivity of silicone rubber matrix carbon nanotube composite (SMCNT). SMCNT samples are prepared with the addition of various CNT volume fractions to high temperature vulcanizing (HTV) silicone rubber by melt-blending method. The developed model reveals that the high fraction of thinner and longer CNT, thicker interphase, higher concentration of percolated CNT, lower waviness of CNT, and higher conductivity of CNT can make a higher effective conductivity for SMCNT.

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“…The presence of ultraviolet radiation on polymeric insulators, which are in an external environment, can accelerate its degradation process, and thereby leave these components in a critical situation [6]. The contamination that accumulates on the surface of the insulators is non‐uniform and uneven, when insulators in different locations are compared, which makes monitoring of this condition difficult [7].…”

Section: Introductionmentioning

confidence: 99%

Classification of insulators using neural network based on computer vision

Stefenon

Corso

Nied

et al. 2021

IET Generation Trans & Dist

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Insulators of the electrical power grid are usually installed outdoors, so they suffer from environmental stresses, such as the presence of contamination. Contamination can increase surface conductivity, which can lead to system failures, reducing the reliability of the network. The identification of insulators that have their properties compromised is important so that there are no discharges through its insulating body. To perform the classification of contaminated insulators, this paper presents computer vision techniques for the extraction of contamination characteristics, and a neural network (NN) model for the classification of this condition. Specifically, the Sobel edge detector, Canny edge detection, binarization with threshold, adaptive binarization with threshold, threshold with Otsu and Riddler–Calvard techniques will be evaluated. The results show that it is possible to have an accuracy of up to 97.50% for the classification of contaminated insulators from the extraction of characteristics with computer vision using the NN for the classification. The proposed model is more accurate than well‐established models such as support‐vector machine (SVM), k‐nearest neighbor (k‐NN), and ensemble learning methods. This showed that optimizing the model's parameters can make it superior to solve the problem in question.

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Experimental investigation on composite insulators AC flashover performance with fan-shaped non-uniform pollution under electro-thermal stress

Cited by 37 publications

References 28 publications

Research Progress of Self-Cleaning, Anti-Icing, and Aging Test Technology of Composite Insulators

Research Progress of Self-Cleaning, Anti-Icing, and Aging Test Technology of Composite Insulators

Electrical Conductivity Modeling and Fabrication of Carbon Nanotubes/Silicone Rubber Composites for High Voltage Insulators in Regions With a Polluted Atmosphere

Classification of insulators using neural network based on computer vision

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