Partial discharge. X. PD in gas-insulated substations-measurement and practical considerations

Baumgärtner, R.; Fruth, B.; Lanz, W.; Pettersson, Kjell

doi:10.1109/57.120634

Cited by 60 publications

(9 citation statements)

References 12 publications

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“…Needle-plane electrodes made of stainless steel were used in the experiment; we used needles with three different tip radii R, 3 Concerning the pulse to glow transition with increasing applied voltage, Bartnikas et al [lo] observed a constant PD pulse amplitude, which is similar to the results in the negative half cycle as shown in Figure 3, under uniform field cond/tions with short parallel-plane gaps in helium. It should be noted that the P D pulse amplitude remains constant with applied voltage in both the uniform and divergent field cases.…”

Section: Methodsmentioning

confidence: 57%

“…Recently, Baumgiirtner et d. [2,3] have tried to assess the insulation performance and to identify the cause of PD using phase-resolved PD pulse height analysis; also several reports have dealt with the PD inception mechanism in SF6 gas [4-71. Fundamentals of the PD occurrence phase distribution have not been fully understood. It is also a crucial issue now to improve the reliability of diagnosis of insulation performance.…”

Section: Introbuctlonmentioning

confidence: 99%

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Partial discharge measurements in SF/sub 6/ and air using phase-resolved pulse-height analysis

Hikita

Kato

Ōkubo

1994

IEEE Trans. Dielect. Electr. Insul.

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We carried out a study on partial discharge (PD) phenomena in SF6 gas and tried to construct a diagnostic system capable of separating noise from observed PD signals for assessing the condition of insulation performance in power apparatus. We have constructed a computer-aided P D measuring systein which permits a time-sequential data acquisition and phaseresolved pulse height analysis. Using the P D measurement system, we measured 60 He ac PD in SF6 gas and in air at' atmospheric pressure for needle-plane electrodes with three different radii at the tip of the needle, 3, 30 and 500 pm. We ptoposed particular PD statistical parameters, unbalance ratios U, and U, of the pulse repetition rate and average of charge, respectively, between positive and negative PD pulses occurring per cycle; these parameters proved t o be good indicator? to distinguish PD occurring in SF6 from that in air. The mechanism of PD inception was also discussed. INTRObUCTlONFe gas has been used widely as an insulating mate-S rial because of its superb properties. It meets the social demand by making pbwer apparatus much smaller in siee, more efficient, larger in capacity, and environmentally clean [l]. With respect to power apparatus, monitoring and diagnostic systems have been used extensively to prevent failures of apparatus. The conventional sensing system for diagnosis, however, is not capable to identify the cause and to determine the location of the failures. Accordingly, improving the technology of sensing and diagnostics becomes a crucial issue.Recently, Baumgiirtner et d. [2,3] have tried to assess the insulation performance and to identify the cause of PD using phase-resolved PD pulse height analysis; also several reports have dealt with the PD inception mechanism in SF6 gas [4-71. Fundamentals of the PD occurrence phase distribution have not been fully understood. It is also a crucial issue now to improve the reliability of diagnosis of insulation performance. At the same time, since in a field test the electromagnetic noise arises from PD in air, it is necessary for assessing the condition of insulation performance to separate the noise from the PD signal.We have attempted to construct a computer-aided PD measuring and diagnostic system to study PD phenomena in SF6 gas; the investigation must provide a basis of the assessment made by the system. The computeraided PD measuring system was developed to permit time-sequential data acquisition and phase-resolved pulse

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Section: Methodsmentioning

confidence: 57%

Section: Introbuctlonmentioning

confidence: 99%

Partial discharge measurements in SF/sub 6/ and air using phase-resolved pulse-height analysis

Hikita

Kato

Ōkubo

1994

IEEE Trans. Dielect. Electr. Insul.

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“…PD occur due to the defects of irregularities or protrusion on high voltage or earth electrodes, free or floating metallic particles, contamination on the surface of spacers, and void or gap at electrode/dielectric interface. These defects may course by the mechanical abrasion movement of the conductor during load cycling, error in manufacturing of gas insulated switchgear (GIS), vibration during shipment of GIS equipment and assembling, undetected scratch on electrodes, and poor electrical contacts [1,[3][4][5][6]. Partial discharge is accompanied by the emission of energy as electromagnetic emission in the form of the radio wave, light and heat; acoustic emission in the form of sound at ultrasonic ranges; and emission of ozone and nitrogen oxide.…”

Section: Introductionmentioning

confidence: 99%

Classification of Partial Discharge Fault Sources on SF₆ Insulated Switchgear Based on Twelve By-Product Gases Random Forest Pattern Recognition

et al. 2020

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Sulphur hexafluoride (SF6) gas insulated switchgear (GIS) is widely used in electrical power supply system and therefore needs regular preventive maintenance. Prediction and diagnosis analysis of faults in GIS using SF6 gas byproducts was introduced previously by using 4 to 8 types of by product gases. As latest development on gas analyser, more by-product gases can be detected and used for condition monitoring of the GIS. The type, number, concentration and chemical stability of by-product gases of SF6 GIS are found to be closely correlated to the type of defect. However, the number of byproduct gases used increases, the pattern for faults classification become more complex. Thus, further analysis on increasing number of by product gases using intelligent techniques such as pattern recognition is required. In this paper, 12 significant by-products captured due to various sources of partial discharge fault in GIS were used. Random Forest (RF) was selected in this work as a multi-class classification technique. The analyses using RF pattern recognition with eight algorithms based on the presence and concentration of the gas by-products were carried out. The RF algorithm successfully recognises a given defect with an accuracy of 87.5% for all defects fault classification. The performance of the RF algorithm is 1.5 times better than the decision table algorithm which is the next best algorithm. This research illustrates the feasibility and applicability of an effective GIS diagnostic using gas by-products analyses, and in particular, using the RF pattern recognition.

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“…Primarily, the typical defects of GIS PD signal was measured and analysed by using pulse current method, UHF method and Ultrasonic method [5][6][7], but the DC PD detection of the metal particle defects in GIS is remote. Because the metal conductive particles in GIS under dc voltage is easy to motion freely and more active than it under ac voltage, the DC PD detection can make the metal particle defects become more prominent, which is more conducive to detect the metal particle defects.…”

Section: Introductionmentioning

confidence: 99%

Investigation of states recognition of motion conducting particles under DC voltages using the pulse current method

Dong

Liu

Gao

et al. 2013

2013 Annual Report Conference on Electrical Insulation and Dielectric Phenomena

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Gas insulated switchgear (GIS) is widely used in the power system, due to its high reliability and great insulation characteristics. However, partial discharge (PD) caused by particle contamination in GIS threatens the stability and reliability of power system. Experiments have been carried out to observe the motion trials of single macroscopic conducting particle under DC voltages. Simultaneously, the pulse current signals have been measured. The result shows that the dominant frequency of PD signals for conducting particle under DC voltage is in the range of 0~7 MHz. In this paper, a method that recognized the particle states is proposed based on pulse characteristic parameter maps which consist of time intervals between pulses (Δt), discharge numbers (n) and discharge charges (q). The result indicates that pulse characteristic parameter maps can be used to recognize the motion states of metallic particle.

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Partial discharge. X. PD in gas-insulated substations-measurement and practical considerations

Cited by 60 publications

References 12 publications

Partial discharge measurements in SF/sub 6/ and air using phase-resolved pulse-height analysis

Partial discharge measurements in SF/sub 6/ and air using phase-resolved pulse-height analysis

Classification of Partial Discharge Fault Sources on SF₆ Insulated Switchgear Based on Twelve By-Product Gases Random Forest Pattern Recognition

Investigation of states recognition of motion conducting particles under DC voltages using the pulse current method

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