Procedure for identification and localization of dangerous PD sources in power transformers

Fuhr, J.

doi:10.1109/tdei.2005.1522193

Cited by 71 publications

(29 citation statements)

References 6 publications

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“…In transformers, some PD sources include gas bubbles in the oil, voids in solid insulation material or floating metallic particles. The long term effect of PD on insulating systems is destructive, leading to the insulation deterioration or breakdown of power transformers [47,57]. PD activity in power transformers is often measured during factory acceptance testing using the conventional measurement according to IEC 60270 [55].…”

Section: Partial Discharge Detection Techniquesmentioning

confidence: 99%

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Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

Fofana

Hadjadj

2016

Energies

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Abstract:The condition of the internal cellulosic paper and oil insulation are of concern for the performance of power transformers. Over the years, a number of methods have been developed to diagnose and monitor the degradation/aging of the transformer internal insulation system. Some of this degradation/aging can be assessed from electrical responses. Currently there are a variety of electrical-based diagnostic techniques available for insulation condition monitoring of power transformers. In most cases, the electrical signals being monitored are due to mechanical or electric changes caused by physical changes in resistivity, inductance or capacitance, moisture, contamination or aging by-products in the insulation. This paper presents a description of commonly used and modern electrical-based diagnostic techniques along with their interpretation schemes.

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Section: Partial Discharge Detection Techniquesmentioning

confidence: 99%

“…Depending on the voltage and the size of the transformer, the acceptable limits of PD for new transformers are in the range < 100 pC to < 500 pC [46]. Early detection and localization of PD is of utmost importance, it facilitates preventive repairs to avoid unforeseen breakdowns [56][57][58].…”

Section: Partial Discharge Detection Techniquesmentioning

confidence: 99%

Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

Fofana

Hadjadj

2016

Energies

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“…Fortunately, the shape of PD pulses has useful information about the location and type of PD source. Till now, several parameters are introduced and evaluated for PD signal inference [11][12][13][14][15]22], i.e., gravity center and deviation of the normalized signal in time and frequency domain (equivalent time length r T and equivalent bandwidth r F ), pulse height and rise time. For a digitized pulse shape p(n), the gravity center in time l T [23] and frequency domain n F are measured as follows:…”

Section: Feature Extractionmentioning

confidence: 99%

“…Refs. [11][12][13][14][15] have used an ultra wideband measuring system in identification and localization of PD pulses and reduction of interferences based on the pulse shape features. Finally, in [16] a novel wavelet based technique has been proposed for extracting PD signals embedded in high noise level.…”

Section: Introductionmentioning

confidence: 99%

A method for discriminating original pulses in online partial discharge measurement

Allahbakhshi

Akbari

2011

Measurement

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“…It is clear that the RFCT output for a floating discharge pulse contains higher frequency components than those of the corona discharge and that although attenuated they are present in the photodiode output. Consequently, as with other PD detection systems for power transformers [9] it should be possible to discriminate between internal and external events, using time/frequency information from the photodiode output signal. The results of pulse injection into the EO modulator as shown in Fig.…”

Section: Discussionmentioning

confidence: 99%

Application of Electro-optic Modulation Technique for PD Monitoring of Power Transformers

Lewin

Tian

et al.

Conference Record of the 2006 IEEE International Symposium on Electrical Insulation

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Abstract-Partial discharge (PD) detection is an important technique for assessing the health of high voltage power transformers. A partial discharge signal within an oil-filled power transformer may reach a winding first, then travel along the winding to the bushing core bar. The bushing, acting like a capacitor, can transfer the high frequency components of the partial discharge signal to its tap point. Previous published work [1] has shown that these high frequency components at the bushing tap point can be detected using a suitable sensor and transmitted to remote digital equipment for on-line analysis. In a high voltage substation there is often excessive electrical noise which may corrupt any measured PD signal from the bushing tap point as the bushing acts as an antenna. If signal transmission is implemented using standard coaxial cables this can result in further corruption of the PD signal. The use of optical transmission techniques therefore has clear advantages not only through improved noise immunity but also because it realises electrical isolation and improved operator safety. This paper details the application of an electrooptic modulator to generate transmission signals over polarization maintaining optical fibre from the measurement point. The feasibility of this approach has been investigated using PD signals measured at the tap point of a 60kV bushing, two different PD sources have been used and in both cases it was possible to detect PD activity above 40pC.

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Procedure for identification and localization of dangerous PD sources in power transformers

Cited by 71 publications

References 6 publications

Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

A method for discriminating original pulses in online partial discharge measurement

Application of Electro-optic Modulation Technique for PD Monitoring of Power Transformers

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