Condition assessment strategies of composite insulator based on statistic methods

Chen, Can; Jia, Zhidong; Ye, Wei'an; Guan, Zhicheng; Li, Yaozhong

doi:10.1109/tdei.2016.005806

Cited by 13 publications

(8 citation statements)

References 18 publications

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“…In Reference [22], it was found that the hydrophobicity of the surface material was related to the micro-structure of the surface material, and roughness and porosity were the main factors affecting the micro-structure of silicone rubber. This paper adopts the Wenzel model to explain the contact between a water drop and the surface material of silicone rubber.…”

Section: Scanning Electron Microscopy Testmentioning

confidence: 99%

Research on Lifespan Prediction of Composite Insulators in a High Altitude Area Experimental Station

Zhang

Jiang

et al. 2019

Applied Sciences

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In this paper, composite insulators of the same batch from Factory A, aged for 1–12 years in a high altitude area experimental station of Hunan province, were sampled. In order to investigate the changing law of lifespan prediction parameters with aging time, widely accepted testing methods, such as the static contact angle (CA) and hardness, were employed for composite insulators in accordance with previous research. Based on test results, lifespan prediction parameters were concluded and some parameters significantly correlated with aging time were filtered by means of correlation calculation. On this basis, a prediction method which can be used to determine the aging time of composite insulators was proposed based on a back propagation (BP) neural network. Test results indicate that parameters, including the static contact angle (θav), the relative content of Si (XSi) and O (XO) elements, and salt-fog flashover voltage (Uf), have significant correlation with aging time, and that these parameters can be used to evaluate the aging degree of composite insulators. In addition, due to the high accuracy in experimental verification, the method proposed in this paper can be used to predict the aging time of composite insulators from Factory A in high altitude areas in future research.

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Section: Scanning Electron Microscopy Testmentioning

confidence: 99%

Research on Lifespan Prediction of Composite Insulators in a High Altitude Area Experimental Station

Zhang

Jiang

et al. 2019

Applied Sciences

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“…The second aspect is to access the importance of the overhead line to the electrical network, named as the importance index. For renovation index calculation, various testing methods [23][24][25][26][27] together with practical testing experience and visual inspection of a Thailand's transmission utility [28] were determined as methods for condition assessment with a comprehensive, detailed clarification of aging and degradation characteristics and the scoring of degradation levels as basic input for the renovation index calculation. For importance index determination, the significant impact factors encountered during transmission system operation were considered, such as the percentage of line loading (MVA), system usage, operating voltage level (kV), contingency of HVTL, statistical failure, age of HVTL, as well as pollution, public image, and human impact in various locations along the HVTL were thoroughly considered.…”

Section: Introductionmentioning

confidence: 99%

D-distance Risk Factor for Transmission Line Maintenance Management and Cost Analysis

Luejai

Suwanasri

2021

Sustainability

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In this paper, a D-distance risk factor was proposed to prioritize high-voltage transmission lines from high to low risk in transmission line maintenance and renovation management. Various conditions and importance assessment criteria together with the weighting and scoring method were proposed to calculate both the renovation and importance indices of transmission lines. The scores of different test methods and visual inspection were differentiated from zero to five as end-of-life to very good condition to evaluate the condition of the line and its components. Additionally, the scores of different importance criteria were modified to assess the line importance from low to high importance. Moreover, the analytic hierarchy process was applied to determine the important weight of all test methods and importance criteria, which were evaluated by utility experts. The renovation and importance indices were combined in a risk matrix to finally determine the risk of the line by using the D-distance technique. Later, the risk of every transmission line was plotted in a risk matrix to prioritize and manage maintenance tasks. Finally, a maintenance cost was analyzed by applying the D-distance risk factor and compared with the replacement cost of a new transmission line for maintenance planning and cost minimization. Twenty out of 115, 230 and 500 kV transmission lines fleet in Thailand were practically analyzed with actual data. The results were realistic to feasibly implement in a transmission system for sustainable management.

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“…The reliability and durability of insulators are quite essential for the efficient performance of lines. Although insulators comprise only 5% of capital cost, they are accountable for 70% of line interruptions and 50% of maintenance costs of transmission lines [2][3][4][5][6][7]. More than 90% of studies have reported the active life of insulators to be approximately 30 years.…”

Section: Introductionmentioning

confidence: 99%

Replacement Strategy of Insulators Established by Probability of Failure

et al. 2020

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Insulators comprise only 5% of the capital cost of transmission lines; they are accountable for 70% of line interruptions and 50% of maintenance costs of transmission lines. Major transmission lines situated in different parts of the world were mostly all constructed 30 years ago. These lines have either completed or are approaching the active life at 30 years. It is not possible to replace all insulators at a time in any utility. From a standpoint of consistency, it is quite important to locate insulators that require replacement prior to the occurrence of failure. Recalling these issues, a replacement strategy was modeled on insulator samples, operated at 154 kV, mechanical and electrical rating (M+E) 25,000 lbs and within the 10–50 years (Y) age group, collected in bulk for laboratory evaluation, based on the probability of mechanical failure (P(F)) of insulators. For conducting these studies, tensile load test such as combined electrical and mechanical failing load test was performed on selected 30 new and aged porcelain insulator samples from bulk to access recent condition. It was observed that insulators under service for 50 years manifested a decrease of 89.3% in quality factor (K), as compared to insulators within 10 years of service. A micro-structural study was carried out by using an optical microscope (OM) and a scanning electron microscope (SEM) for the further confirmation of previous evaluations. P(F) was derived by implementing Weibull distribution on the experimental observations. It was observed that insulators with an age of 50 years depicted a 2.7% increase in P(F), as compared to insulators with an age of 10 years. This article discussed a strategy for accessing the recent condition of new, aged bulk samples and the criteria of the replacement of the insulator string based on P(F).

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Condition assessment strategies of composite insulator based on statistic methods

Cited by 13 publications

References 18 publications

Research on Lifespan Prediction of Composite Insulators in a High Altitude Area Experimental Station

Research on Lifespan Prediction of Composite Insulators in a High Altitude Area Experimental Station

D-distance Risk Factor for Transmission Line Maintenance Management and Cost Analysis

Replacement Strategy of Insulators Established by Probability of Failure

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