Partial discharge detection for GIS: A comparison between UHF and acoustic methods

Qi, Bo; Li, Chengrong; Hao, Zhen; Geng, Bibo; Xu, Dongyu; Liu, Shaoyu; Deng, Chun

doi:10.1109/elinsl.2010.5549553

Cited by 12 publications

(8 citation statements)

References 6 publications

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“…This method studies the spectral signature of the PD signal within the bandwidth of 300 MHz to 3 GHz [9] and it has been extensively used as a result of reliability sensitivity and the largest bandwidth of the existing methods. However, this method does not always provide sufficient information about the PD cause [7]. Furthermore, the digital signal processing and data storage require huge computational resources.…”

Section: Introductionmentioning

confidence: 97%

“…Acoustic waves can be detected using an ultrasonic microphone. Although it shows high sensitivity, it has a low signal-to-noise ratio and poor detection efficiency [7]. By the same token, the optical technique detects the ultraviolet light emissions and is immune to EM interference.…”

Section: Introductionmentioning

confidence: 99%

“…For example, voltage fluctuations are detected by transducer like capacitive couplers in the electric circuit monitoring technique. This can identify voltage changes in the time-domain and/or frequencydomain, but is highly sensitive to external noise [6], [7]. A well-known standard is the IEC 60270 [4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Two planar antennas for detection of partial discharge in gas-insulated switchgear (GIS)

Lozano-Claros

Čustović

Elton

2015

2015 IEEE International Conference on Communication, Networks and Satellite (COMNESTAT)

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The detection of partial discharge in GIS plays a pivotal role in preventing and mitigating severe operational failure and damage in insulation elements. Partial discharge progressively degrades the insulating medium and, as a result electrical breakdown can occur in GIS. Despite various techniques used for PD detection, the RF analysis is extensively used because it is highly reliable, has good sensitivity and the largest bandwidth.The objective of this study is to examine two applicable planar antennas for detecting the RF energy of partial discharge in GIS infrastructure. Namely, a planar complex spiral antenna and a fractal tree log-periodic dipole antenna which are located on the GIS junction of segments.

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Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Two planar antennas for detection of partial discharge in gas-insulated switchgear (GIS)

Lozano-Claros

Čustović

Elton

2015

2015 IEEE International Conference on Communication, Networks and Satellite (COMNESTAT)

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“…The early detection of PDinduced acoustic emission (AE) signals can reduce the incidence of serious accidents caused by the insulation faults of GIS. (4) Current detection methods mainly include the ultrahigh frequency (UHF) method, pulse current method, chemical detection method, optical detection method, and AE detection method. (5)(6)(7) However, because these methods also have limitations, developing a method with higher accuracy to detect PD faults in GIS with a sealed metal shell is still a very significant engineering problem.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Monitoring System Based on Optical Fiber Acoustic Emission Sensor and Its Application in Partial Discharge Diagnosis of Gas-insulated Switchgear

Hou¹,

Qin²,

Gao³

et al. 2021

Sensors and Materials

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Gas-insulated switchgear (GIS) is widely used in high-voltage power transmission systems. There has also been increasing demand for the real-time and online detection of faults in GIS equipment. In this study, a new type of optical fiber acoustic emission (AE) sensor based on the photoelastic effect and the polarization modulation method is proposed and fabricated. Partial discharge (PD)-induced AE signals of different defects were collected by this sensor and used for back-propagation artificial neural network (BP-ANN) training and recognition after data preprocessing and feature extraction. The results of the research show that a BP-ANN with selfadaptation and self-learning combined with the proposed sensor has good performance in the recognition and prediction of PD faults in GIS equipment, and the average accuracy of the test set reached 93.7%. The detection technology for weak AE signals and the fault identification method reported in this study can provide a reference for online monitoring of GIS and other equipment, which will have appreciable economic value and social significance.

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“…This method relies on the detection of mechanical waves produced by the rapid energy release due to the vaporization of the insulating materials. The main disadvantage of this method is that it might give a false location for PD defects due to interferences from the environment [17], [18]. Optical techniques, which are also mainly on-line techniques, show superior performance when it comes to PD detection and localization since they have great immunity to different electromagnetic interferences coming from the environment.…”

Section: Introductionmentioning

confidence: 99%

On the Electromagnetic Wave Behavior Due to Partial Discharge in Gas Insulated Switchgears: State-of-Art Review

et al. 2019

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The rapid growth of gas insulated switchgears as a compact, efficient, and reliable device has recently been given great attention. Albeit gas insulated switchgears can seldom suffer from failure due to the high resiliency and robustness, some severe damages have been experienced by such devices particularly in the event of partial discharge. Thus, monitoring such accidents has become a vital part of power systems reliability. The ultra-high frequency techniques have recently shown superior performance in the detection and classification of electromagnetic waves produced by partial discharge. This is mainly due to the great immunity to the noise of the ultra-high frequency detection techniques compared with the veryhigh-frequency counterparts. This review paper highlights the mathematical aspects of the electromagnetic waves generated by partial discharge. It also delivers an overview of the electromagnetic wave behavior in the complex structure of gas insulated switchgears, and outlines the important characteristics of the internal and external partial discharge detection using ultra-high frequency methods. INDEX TERMS Electromagnetic waves behavior, finite difference time domain, gas insulated switchgears, partial discharge, sensors, ultra-high frequency measurements.

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Partial discharge detection for GIS: A comparison between UHF and acoustic methods

Cited by 12 publications

References 6 publications

Two planar antennas for detection of partial discharge in gas-insulated switchgear (GIS)

Two planar antennas for detection of partial discharge in gas-insulated switchgear (GIS)

Intelligent Monitoring System Based on Optical Fiber Acoustic Emission Sensor and Its Application in Partial Discharge Diagnosis of Gas-insulated Switchgear

On the Electromagnetic Wave Behavior Due to Partial Discharge in Gas Insulated Switchgears: State-of-Art Review

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