A crest factor-based technique for the analysis of polluted insulator leakage current under harmonically distorted supply voltage

Banik, Apu; Nielsen, Shawn; Nourbakhsh, Ghavameddin

doi:10.1007/s00202-020-01184-3

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…The experiment was done using 12 different set of 11kV insulators and are grouped according to the degree of physical surface deterioration of the insulator. Based on methods described in IEC 60507 [13][14][15], a solution of mixture of salt and 100ml of distilled water are mixed under room temperature and allowed to be dissolved. The insulators are thoroughly washed to remove dirt, grease and dried before they are pre contaminated with the mixed salt and water solution under controlled environment.…”

Section: Methodsmentioning

confidence: 99%

Leakage Current Harmonic Index as A Diagnostic Technique for Tool to Assess the Surface Condition Assessment of Aged Insulator Surface Under Varying Humidity

BENISHEIKH,

Zulkurnain Abdul-Malek

2024

Elektrika

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Leakage current has been widely utilized as an effective means to monitor the pollution severity of outdoor insulators. The indices of the odd harmonic components of the leakage current have proven to be reliable indicators of insulator performance, particularly in the third to fifth harmonic orders. However, significant challenges exist in using these indices to monitor and classify the leakage current of aged insulators under varying harmonic and pollution conditions. This paper introduces the harmonic index K((3/(5+7) ) which employs third up to seventh odd harmonic component of the leakage current as a diagnostic tool to determine the pollution severity of aged insulators under light, medium and heavy contamination levels. The experiments were conducted using 12 different sets of 11kV insulators with varying degrees of aging. The results indicate that the harmonic index Ki for new and moderately aged insulators decreases with an increase in contamination and is lower than that of heavily aged insulators.

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Section: Methodsmentioning

confidence: 99%

Leakage Current Harmonic Index as A Diagnostic Technique for Tool to Assess the Surface Condition Assessment of Aged Insulator Surface Under Varying Humidity

BENISHEIKH,

Zulkurnain Abdul-Malek

2024

Elektrika

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Continuous Diagnostic Device for Pin Insulators

Tereschenko

Miroshnik

Polyakov

2022

2022 Dynamics of Systems, Mechanisms and Machines (Dynamics)

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Contamination Level Monitoring Techniques for High-Voltage Insulators: A Review

et al. 2022

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Insulators are considered one of the most significant parts of power systems which can affect the overall performance of high-voltage (HV) transmission lines and substations. High-voltage (HV) insulators are critical for the successful operation of HV overhead transmission lines, and a failure in any insulator due to contamination can lead to flashover voltage, which will cause a power outage. However, the electrical performance of HV insulators is highly environment sensitive. The main cause of these flashovers in the industrial, agricultural, desert, and coastal areas, is the insulator contamination caused by unfavorable climatic conditions such as dew, fog, or rain. Therefore, the purpose of this work is to review the different methods adopted to identify the contamination level on high-voltage insulators. Several methods have been developed to observe and measure the contamination level on HV insulators, such as leakage current, partial disgorgement, and images with the help of different techniques. Various techniques have been discussed alongside their advantages and disadvantages on the basis of the published research work in the last decade. The major high-voltage insulator contamination level classification techniques discussed include machine learning, fuzzy logic, neuro–fuzzy interface, detrended fluctuation analysis (DFA), and other methods. The contamination level data will aid the scheduling of the extensive and costly substation insulator, and live line washing performed using high-pressured water. As a result, considerable benefits in terms of improved power system reliability and maintenance cost savings will be realized. This paper provides an overview of the different signal processing and machine-learning methods adopted to identify the contamination level on high-voltage insulators. Various methods are studied, and the advantages and disadvantages of each method are discussed. The comprehensive review of the islanding methods will provide power utilities and researchers with a reference and guideline to select the best method to be used for contamination level identification based on their effectiveness and economic feasibility.

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A crest factor-based technique for the analysis of polluted insulator leakage current under harmonically distorted supply voltage

Cited by 3 publications

References 25 publications

Leakage Current Harmonic Index as A Diagnostic Technique for Tool to Assess the Surface Condition Assessment of Aged Insulator Surface Under Varying Humidity

Leakage Current Harmonic Index as A Diagnostic Technique for Tool to Assess the Surface Condition Assessment of Aged Insulator Surface Under Varying Humidity

Continuous Diagnostic Device for Pin Insulators

Contamination Level Monitoring Techniques for High-Voltage Insulators: A Review

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