Partial discharge initiated by free moving metallic particles on GIS insulator surface: severity diagnosis and assessment

Qi, Bo; Li, Chengrong; Xing, Zhaoliang; Zhen, Wei

doi:10.1109/tdei.2013.003585

Cited by 57 publications

(29 citation statements)

References 7 publications

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“…In [9], the researcher emphatically focused on PD development under free metal particle defects and found a strong correlation of the maximal discharge capacity characterizing the severity with the number and position of free metal particles. In [10], PD development under the insulation defect of surface filth for GIS insulators was simulated to identify the PD development of this defect. The process goes through three stages of corona discharge, coexistence of corona discharge, and streamer discharge along the surface, followed by a PD severity assessment by the dint of the discharge phase distribution and pattern characteristics of several statistical spectrograms.…”

Section: Introductionmentioning

confidence: 99%

“…The invigorative result [8][9][10][11][12] in the current research mainly looks into the rules and conditions of PD deterioration. In the area of PD severity assessment, only basic parameters, such as discharge times, amplitude value, and phase, are adopted to describe PD severity characteristics for evaluation, with the evaluation effect far from satisfying power operation companies.…”

Section: Introductionmentioning

confidence: 99%

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Feature Selection for Partial Discharge Severity Assessment in Gas-Insulated Switchgear Based on Minimum Redundancy and Maximum Relevance

et al. 2017

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Scientific evaluation of partial discharge (PD) severity in gas-insulation switchgear (GIS) can assist in mastering the insulation condition of in-service GIS. Limited theoretical research on the laws of PD deterioration leads to a finite number of evaluation features extracted and subjective features selected for PD severity assessment. Therefore, this study proposes a minimum-redundancy maximum-relevance (mRMR) algorithm-based feature optimization selection method to realize the scientific and reasonable choice of PD severity features. PD ultra-high frequency data of varying severities are produced by simulating four typical insulation defects in GIS, which are then collected in the lab. A 16-dimension feature set describing PD original characteristics is abstracted in phase-resolved partial discharge (PRPD) mode, and the more informative evaluation feature set characterizing PD severity is further excavated by the mRMR method. Finally, a support vector machine (SVM) algorithm is employed as the classifier for intelligent evaluation to compare the evaluation effects of PD severity between the feature set selected by mRMR and the feature set is composed of discharge times, amplitude value, and time intervals obtained traditionally based on discharge change theory. The proposed comparison test showed the effectiveness of the mRMR method in informative feature selection and the accuracy of PD severity assessment for all defined defects.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feature Selection for Partial Discharge Severity Assessment in Gas-Insulated Switchgear Based on Minimum Redundancy and Maximum Relevance

et al. 2017

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“…At present, a lot of research studies have been carried out for the PD phenomenon of metal particles in GIS. (4)(5)(6) Prabakaran et al used an actual 420 kV GIS as an experimental platform to study the discharge characteristics of the particles fixed on a high-voltage bus bar, an outer casing, and an insulator. (7) Holmberg et al used the particle suspension time distribution to simulate the particles and considered the particle suspension time to evaluate the particle discharge characteristics.…”

Section: Introductionmentioning

confidence: 99%

Partial Discharge Detection and Characteristics of Gas-insulated Substation Free Metal Particles Based on Acoustic Emission

Shen¹,

Yu-xiang²,

Zhou³

et al. 2019

Sensors and Materials

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Metal particles can easily be produced in the production and installation of a gas-insulated substation (GIS). The partial discharge (PD) induced by metal particles is a significant security risk to GIS. At present, some related research studies focus on the PD of individual metal particles, but less attention is paid to that of accumulated metal particles. In this study, the PD of the accumulated metal particles was investigated. A defect model of surface free metal particles on a basin-type insulator was set up. Four models of free metal particles of different sizes lying inside the GIS were designed. PD signal waveforms were measured using acoustic emission (AE) sensors. The frequency spectrum characteristics of the PD signal were analyzed, and the PD characteristics under different voltage waveforms were compared. Research results showed that, through the detection of PD signals, the accumulation of free metal particles on the surface of the insulator could be predicted and evaluated to ensure the safe operation of GIS equipment.

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“…In several cases, the rigidity of gases is as low as 10% of the uncontaminated value [4][5][6][7]. The insulation destruction of DC GIS/GIL caused by contaminated metal particles should be addressed more carefully than that of alternating current GIS/GIL because of an increased motion activity of such particles [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Experimental Studies on the Motion and Discharge Behavior of Free Conducting Wire Particle in DC GIL

Wang¹,

Wang²,

Ni³

et al. 2017

Journal of Electrical Engineering and Technology

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-This study aims to restrain free conducting wire-type particles which are commonly and dangerously existing within DC gas-insulated transmission lines. A realistic platform of a coaxial cylindrical electrode was established by using a high-speed camera and a partial discharge (PD) monitor to observe the motion, PD, and breakdown of these particles. The probabilities of standing or bouncing, which can be affected by the length of the particles, were also quantitatively examined. The corona images of the particles were recorded, and particle-triggered PD signals were monitored and extracted. Breakdown images were also obtained. The air-gap breakdown with the particles was subjected to mechanism analysis on the basis of stream theory. Results reveal that the lifting voltage of the wire particles is almost irrelevant to their length but is proportional to the square root of their radius. Short particles correspond to high bouncing probability. The intensity and frequency of PD and the micro-discharge gap increase as the length of the particles increases. The breakdown voltage decreases as the length of the particles decreases.

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Partial discharge initiated by free moving metallic particles on GIS insulator surface: severity diagnosis and assessment

Cited by 57 publications

References 7 publications

Feature Selection for Partial Discharge Severity Assessment in Gas-Insulated Switchgear Based on Minimum Redundancy and Maximum Relevance

Feature Selection for Partial Discharge Severity Assessment in Gas-Insulated Switchgear Based on Minimum Redundancy and Maximum Relevance

Partial Discharge Detection and Characteristics of Gas-insulated Substation Free Metal Particles Based on Acoustic Emission

Experimental Studies on the Motion and Discharge Behavior of Free Conducting Wire Particle in DC GIL

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