Change in partial discharge activity as related to degradation level in oil-impregnated paper insulation: effect of high voltage impulses

Kiiza, Respicius Clemence; Niasar, Mohamad Ghaffarian; Nikjoo, Roya; Wang, X.; Edin, Hans

doi:10.1109/tdei.2014.6832271

Cited by 29 publications

(9 citation statements)

References 15 publications

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“…Kiiza has described how a long PD activity combined with high voltage impulses can degrade an oilpaper insulation system [32]. He has used AC 50Hz voltage and High Voltage (HV) impulses to demonstrate how this combination, resulting in insulation destruction.…”

Section: High Voltage Insulation Under High Frequency Stressmentioning

confidence: 99%

A Novel Oil-Immersed Medium Frequency Transformer for Offshore HVDC Wind Farms

Kharezy

Mirzaei

Serdyuk

et al. 2021

IEEE Trans. Power Delivery

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Section: High Voltage Insulation Under High Frequency Stressmentioning

confidence: 99%

A Novel Oil-Immersed Medium Frequency Transformer for Offshore HVDC Wind Farms

Kharezy

Mirzaei

Serdyuk

et al. 2021

IEEE Trans. Power Delivery

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“…Numerous aspects of the PD variability in time have been published so far, but most of them deal with electrical method only. In Reference [22] Kiiza et al investigated the long-term activity with the presence of HV pulses occurring temporarily. They used the electrical method and analyzed phase-resolved PD (PRPD) patterns and PD density within 20 h. According to their results, HV impulses added to the AC voltage at an early stage of the PD activity do not cause any significant change in PRPD patterns.…”

Section: Introductionmentioning

confidence: 99%

Variability of the UHF Signals Generated by Partial Discharges in Mineral Oil

Kunicki

2019

Sensors

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The paper presents the results of the analysis on the variability of the ultra-high frequency (UHF) signals generated by partial discharges (PD) under the long-term AC voltage. Surface PD (SD) are generated by model PD source (PDS) immersed in brand new mineral oil. Three scenarios are compared and investigated, where different solid dielectrics are applied: pressboard paper (PBP), polytetrafluoroethylene (PTFE) and glass-ceramic (GLS). The PDS is powered continuously by the AC voltage with its relative level of 1.3 of the inception voltage (Ui) within 168 h. UHF signals generated by the continuously occurred SD within 168 h are registered. Various indicators describing the variability of the UHF signals emitted by SD are assigned and analyzed in order to discover if there are any relevant trends presented. Furthermore, some long-term characteristics of the UHF signals emitted by the applied PDS are also announced. As a result, some relevant trends are discovered and related to the properties of the applied dielectric materials, thus the variability of the UHF signals emitted by SD is confirmed. The highest variability of the UHF signals is associated with PBP and the first 48 h after PD inception. Moreover achieved results may be potentially applied for modeling of the PD variability in time, which may be useful for works that concern the development of the UHF method.

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“…Faults and insulation defects may happen under electrical, thermal, and mechanical stress with the increase in operation time. Partial discharge (PD) online monitoring is an effective way to identify potential faults and inspect insulation defects in power transformers [1][2][3][4][5][6][7][8]. PD is generally a transient phenomenon accompanied by physical and chemical phenomena, such as electrical pulse, electromagnetic wave, ultrasonic signal, mechanical vibration, and light and gas components, which can be detected by corresponding sensors [9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Sensor for the Ultra-High-Frequency Partial Discharge Online Monitoring of Power Transformers

Xu-dong

et al. 2016

Energies

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Ultra-high-frequency (UHF) partial discharge (PD) online monitoring is an effective way to inspect potential faults and insulation defects in power transformers. The construction of UHF PD online monitoring system is a challenge because of the high-frequency and wide-frequency band of the UHF PD signal. This paper presents a novel, intelligent sensor for UHF PD online monitoring based on a new method, namely a level scanning method. The intelligent sensor can directly acquire the statistical characteristic quantities and is characterized by low cost, few data to output and transmit, Ethernet functionality, and small size for easy installation. The prototype of an intelligent sensor was made. Actual UHF PD experiments with three typical artificial defect models of power transformers were carried out in a laboratory, and the waveform recording method and intelligent sensor proposed were simultaneously used for UHF PD measurement for comparison. The results show that the proposed intelligent sensor is qualified for the UHF PD online monitoring of power transformers. Additionally, three methods to improve the performance of intelligent sensors were proposed according to the principle of the level scanning method.

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Change in partial discharge activity as related to degradation level in oil-impregnated paper insulation: effect of high voltage impulses

Cited by 29 publications

References 15 publications

A Novel Oil-Immersed Medium Frequency Transformer for Offshore HVDC Wind Farms

A Novel Oil-Immersed Medium Frequency Transformer for Offshore HVDC Wind Farms

Variability of the UHF Signals Generated by Partial Discharges in Mineral Oil

An Intelligent Sensor for the Ultra-High-Frequency Partial Discharge Online Monitoring of Power Transformers

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