Advancing new techniques for UHF PDdetection and localization in the power transformers in the factory tests

Mirzaei, Hassan Reza; Akbari, Asghar; Gockenbach, E.; Miralikhani, K.

doi:10.1109/tdei.2014.004249

Cited by 93 publications

(43 citation statements)

References 15 publications

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“…Additionally, all four sensors should not be placed on the same tank wall, and two sensors on the same tank wall should not be placed close together. Lastly, all four sensors should not form a geometrical plane [27]. However, using additional sensors can aid in PD source localization in case four sensors cannot provide enough information in the TDOA.…”

Section: Proposals For Optimal Sensor Placement For Pd Source Localizmentioning

confidence: 99%

Quantitative Analysis of the Sensitivity of UHF Sensor Positions on a 420 kV Power Transformer Based on Electromagnetic Simulation

et al. 2019

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With an increasing interest in ultra-high frequency (UHF) partial discharge (PD) measurements for the continuous monitoring of power transformers, it is necessary to know where to place the UHF sensors on the tank wall. Placing a sensor in an area with many obstructions may lead to a decrease in sensitivity to the UHF signals. In this contribution, a previously validated simulation model of a three-phase 300 MVA, 420 kV power transformer is used to perform a sensitivity analysis to determine the most sensitive sensor positions on the tank wall when PD activity occurs inside the windings. A matrix of UHF sensors located on the transformer tank is used to perform the sensitivity analysis. Some of the windings are designed as layer windings, thus preventing the UHF signals from traveling through them and creating a realistic situation with very indirect propagation from source to sensor. Based on these findings, sensor configurations optimized for UHF signal sensitivity, which is also required for PD source localization, are recommended for localization purposes. Additionally, the propagation and attenuation of the UHF signals inside the windings and the tank are discussed in both oil and air.

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Section: Proposals For Optimal Sensor Placement For Pd Source Localizmentioning

confidence: 99%

Quantitative Analysis of the Sensitivity of UHF Sensor Positions on a 420 kV Power Transformer Based on Electromagnetic Simulation

et al. 2019

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“…Neutral current defined in (5) for no-load condition and in (13) for load condition will never be zero due to different types of imbalances. Imbalance in supply voltages i.e.…”

Section: A Relation Of Transformer Winding Parameters and Intakementioning

confidence: 99%

“… 13. Experimental results for interturn fault at defined load condition primary side intake currents waveforms and corrected phasor diagrams with the neutral current when fault on (a) Primary winding with phase-a and (b) Secondary winding with phase-b.…”

mentioning

confidence: 99%

Interturn Faults Detection of Transformers by Diagnosis of Neutral Current

Ballal

Suryawanshi

Mishra

et al. 2016

IEEE Trans. Power Delivery

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 Abstract-Interturn short circuit faults are the leading cause of power transformer's failure. If not detected at incipient stage, these faults usually develop into more severe faults that would result in irreversible damage to the transformer, unexpected outages and the consequential losses. This paper presents transformer interturn fault detection system (TIFDS) for the detection of interturn fault at inception stage in power transformer. TIFDS is immune to supply voltage imbalance, constructional asymmetries and instrumental errors. It also takes care of unequal load distribution. TIFDS algorithm makes the transformer symmetrical in its entire three phases and sets primary side neutral current to zero value. This is achieved by computing and applying various correction coefficients. However, under interturn fault condition, TIFDS characterizes the behavior of neutral current. Simulation and experimentation studies are carried out on 400/110V, 3x2.5 kVA power transformer. Presented test results demonstrate the effectiveness of the proposed system.Index Terms--Interturn fault, Neutral current, Transformer, Transformer interturn fault detection system (TIFDS).

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“…Therefore, the detection of PD signal is an effective way for Condition Monitoring and Diagnostics (CMD) in substation. Among the PD detection methods, ultra-high frequency (UHF) electromagnetic waves is the most effective method due to its excellent sensitivity and propagation speed [3]. For the existing UHF PD measurement techniques, due to limited hardware conditions such as analog to digital conversion, it is often difficult to meet the requirement of high sampling rate.…”

Section: Introductionmentioning

confidence: 99%

Low Sampling Rate Technology for UHF Partial Discharge Signals Based on Sparse Vector Recovery

Gao¹,

Liu²,

Guo³

et al. 2018

dtetr

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*The detection of the partial discharge (PD) is one of the important way to monitoring the state of the power equipment in substation. The detection and localization of PD signal especially for air-insulated power equipment based on ultra-high frequency (UHF) method need a high sampling rate signal acquisition system which can lead to high hardware cost. Therefore, in this paper we propose a low sampling rate algorithm based on sparse vector recovery. The experiment in laboratory indicates that by our proposed algorithm the PD signal can be well recovered with the use of only 10% of the original signal data, which can significantly reduce the sampling rate for the PD detection and localization.

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Advancing new techniques for UHF PDdetection and localization in the power transformers in the factory tests

Cited by 93 publications

References 15 publications

Quantitative Analysis of the Sensitivity of UHF Sensor Positions on a 420 kV Power Transformer Based on Electromagnetic Simulation

Quantitative Analysis of the Sensitivity of UHF Sensor Positions on a 420 kV Power Transformer Based on Electromagnetic Simulation

Interturn Faults Detection of Transformers by Diagnosis of Neutral Current

Low Sampling Rate Technology for UHF Partial Discharge Signals Based on Sparse Vector Recovery

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