Waveform Complexity Analysis of Differential Current Signal to Detect Magnetizing Inrush in Power Transformer

Hong, Chen; Li, Haifeng; Hua, Leng; Zhu, Jiran; Tang, Haiguo; Zhang, Zhidan

doi:10.1109/icmtma.2017.0037

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…Yet, actual implementations are not carried out. Waveform complexity or fractal study based inrush detection schemes of the differential current signal is carried out in [44]. Still, waveform convolutions of CT saturation under external as well as internal fault are not tested.…”

Section: Morphological-based Analysismentioning

confidence: 99%

Review of methodologies used for detection of magnetising inrush and fault conditions in power transformer

Raichura

Chothani

Patel³

2021

IET Energy Syst Integration

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Reliable and dedicated protection of the transformer is the main requirement in the power system due to the supervision of a highly expensive equipment transformer. Nonlinear characteristics of the transformer give mysterious behaviour for the period of inrush and Current transformer saturation conditions. As a stagnant and electro-magnetic device, a transformer is mainly affected by self-inrush. The saturation of the core itself is a very critical situation that becomes a hindrance for fault discrimination. This article involves the elaboration of the effect of inrush on transformer operation, past research practices for the discrimination of inrush with the faulty condition, and a definite method to recognise inrush and fault condition of the transformer. More than 50 reputed journal articles, various book chapters, and books with research thesis thoroughly studied to review the inrush and fault discrimination conditions. A comparative analysis is prepared to suggest the identification of transformer abnormalities. Moreover, a total harmonics distortion (THD)-based solution proposed for discrimination of the inrush condition from fault and other abnormal conditions using the short time Fourier transform technique. Hardware setup for 2 kVA transformer developed in the laboratory to study different inrush phenomena and altered fault conditions. Simulation and hardware results show various effects of inrush and fault with individual harmonic and THD-based analysis. The collection of real-time data is further used based on laboratory hardware setup to enhance real-time protection schemes for power transformers.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Morphological-based Analysismentioning

confidence: 99%

Review of methodologies used for detection of magnetising inrush and fault conditions in power transformer

Raichura

Chothani

Patel³

2021

IET Energy Syst Integration

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“…The laboratory tests conducted in order to quantify the peak value of the inrush current, to prevent some situations of failure require great expense and are not being performed. For this reason, analytical methods and the simulation of the phenomenon were used to determine the magnitude of the transient current generated when wiring the transformer, to avoid possible damage and to choose the adequate protections [18][19][20][21][22][23][24][25].…”

Section: The Inrush Current Generated On High-power Transformer Wiringmentioning

confidence: 99%

“…the thermal assessment is aimed at the faster-than-anticipated aging due to the excess temperatures caused by the hot spot of the winding, the hot spot in the core and the defects of paper-insulated hot metals; 2. dielectric evaluation follows the process of degradation of solid / liquid insulation due to high thermal or electrical voltage, moisture in the paper / dielectric liquid, manufacturing defects and contamination with conductive particles; 3. the mechanical assessment is aimed at the disintegration of the structure in the core, the windings and the solid insulation, due to one of the many reasons, such as the strong electromagnetic forces resulting from the flow of short-circuit current through the windings; the mechanical deformation of the windings due to the shocks during transportation, installation or during system failures, etc. ; and the degradation of solid insulating materials [16][17][18][19][20][21][22][23][24][25]. Some of the operations concerning the maintenance of power transformers can be established following the modeling of the transient phenomena, starting with the design stage.…”

Section: Introductionmentioning

confidence: 99%

Transitory Regimes and Their Effects on the Insulation of High Power Transformers

Duță¹,

Nitu²,

Nicola³

2020

AJECE

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Transformers are the most important pieces of equipment in the electricity transmission and distribution system.Their importance derives both from their high cost and from the fact that they ensure a proper operation of the national power system. The transitory regimes generated during the operation of transformers, such as the overvoltage caused by the lightning impulse and the transient currents when wiring the transformers result in mechanical stress, thermal stress and electrical stress in transformers. These stresses lead to the aging of the insulation system, to avoid possible damage or even the decommissioning of transformers, this paper presents analytical methods for determining the overvoltage transmitted between the windings of transformers due to the lightning impulse and the transient currents that occur when connecting the transformers. The studies were performed on two high power transformers: TTOS-OFAF of 40 MVA, 123 6.3 kV was used to determine the overvoltages that propagate at the windings of the transformer subjected to lightning impulse, and on TTOS-OFAF of 15 MVA, 10.5 / 6.3 kV was performed the study on the effects of the appearance of the connection current on the transformer insulation. The studied phenomena can have a negative impact on the transformer operation.. The results obtained have been validated by laboratory tests, and they can be used to determine the measures to be taken in order to avoid possible damages as of the time of the transformer implementation in the system.

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“…The features extracted from the waveforms inrush current signal and fault current signal will be used to identifying the difference between them [8]. The current signal in a power transformer is divided into different parts, then by using morphological filter technique the complexity of the circuit signal wave form is analyzes and the clear difference between fault current and inrush current is determined [9]. Both inrush current and internal fault current having different patterns, by using hyperbolic s-transform technique the patterns of both waveforms is identified, which is known is pattern approach technique [10].…”

Section: Introductionmentioning

confidence: 99%

Wavelet Transform Implementation to Differentiate Inrush Current and Fault Current in Power Transformer

Venkateshnaik*,

Rokdae M.

2020

IJRTE

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An electrical system is al complex network, to enhance power generation, transmission and distribution transformers play an important role. Power transformer is the heart of the electrical system. Even though electrical power is generated at lower rate in the coastal areas, it can be transmitted easily over hundreds of kilometer with the help of power transformer. So there must proper protection should given to power transformers. But in order to give the proper protection there should be proper discrimination between internal faults and inrush current. If there is no proper differentiation between faults and inrush current phenomena than the protection circuit will not trip when inrush current comes into the picture. But the protection circuit will trip at faster rate than the actual one when the normal faults or internal faults come into the picture. So there should be proper discrimination between inrush current and internal fault current so that the protection circuit will work properly. There are so many techniques available to get differentiation between inrush current and fault current. Fast Fourier transform is one of the method to differentiate between these two currents. Here we are using wavelet transform technique to get the difference between these two currents. The properties of the inrush current obtained from this technique are accurate and distinct from those obtained from the fast Fourier transform. The experimental set up is carried out in matlab simulink and results were discussed as shown below in results.

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Waveform Complexity Analysis of Differential Current Signal to Detect Magnetizing Inrush in Power Transformer

Cited by 8 publications

References 9 publications

Review of methodologies used for detection of magnetising inrush and fault conditions in power transformer

Review of methodologies used for detection of magnetising inrush and fault conditions in power transformer

Transitory Regimes and Their Effects on the Insulation of High Power Transformers

Wavelet Transform Implementation to Differentiate Inrush Current and Fault Current in Power Transformer

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