A new algorithm for localization of radial deformation and determination of deformation extent in transformer windings

Karimifard, P.; Gharehpetian, Gevork B.

doi:10.1016/j.epsr.2008.02.017

Cited by 37 publications

(20 citation statements)

References 8 publications

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“…To prove the capabilities of the proposed method, the SVM is compared against past methods [16,24,25]. Meanwhile, the results of fault detection using ANN are given in Tables 3 and 4.…”

Section: Classification Results and Discussionmentioning

confidence: 99%

Transformer winding faults classification based on transfer function analysis by support vector machine

Bigdeli

Vakilian

Rahimpour³

2012

IET Electr. Power Appl.

124

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This study presents an intelligent fault classification method for identification of transformer winding fault through transfer function (TF) analysis. For this analysis support vector machine (SVM) is used. The required data for training and testing of SVM are obtained by measurement on two groups of transformers (one is a classic 20 kV transformer and the other is a model transformer) under intact condition and under different fault conditions (axial displacement, radial deformation, disc space variation and short circuit of winding). Two different features extracted from the measured TFs are then used as the inputs to SVM classifier for fault classification. The accuracy of proposed method is compared with the accuracy of past well-known works. This comparison indicates that the proposed method can be used as a reliable method for transformer winding fault recognition.

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“…To prove the capabilities of the proposed method, the SVM is compared against past methods [16,24,25]. Meanwhile, the results of fault detection using ANN are given in Tables 3 and 4.…”

Section: Classification Results and Discussionmentioning

confidence: 99%

Transformer winding faults classification based on transfer function analysis by support vector machine

Bigdeli

Vakilian

Rahimpour³

2012

IET Electr. Power Appl.

124

View full text Add to dashboard Cite

show abstract

“…(4). F B J (5) In the simulation, it is assumed that the windings are fixed by Iron yoke, so gravity would be ignored.…”

Section: B Calculation Of Transient Electromagnetic Forcementioning

confidence: 99%

“…On the other hand, some external factors, such as asymmetrical start and stop of oil pump and cooler of oil-immersed transformer, tank shaking by external force and so on, may lead to the mal-operation of gas protection without internal fault. In practice, sensitivity of gas protection is sacrificed for the request of reliability [5] . In recent years, accidents of mal-operation of gas protection of main transformer reacting to external fault occur frequently in domestic.…”

Section: Introductionmentioning

confidence: 99%

The simulation and analysis on transformer gas Protection Maloperation based on multiple physical fields coupling

Qiao

Zhang

Hao

et al. 2014

2014 International Conference on Power System Technology

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As a transformer main protection, gas protection is an important and traditional non-electricity protection. For internal faults of transformer, gas protection can directly response to non-electricity characteristic such as oil flow velocity, and then has higher sensitivity and reliability compared with electric protection in principle. However, for external faults, great electromagnetic force and losses of windings, which caused by the heavy through currents, may result in maloperation of gas relay. Thus the reliability of the gas protection is low. From statistical data analysis of several gas protection maloperation accidents happened in recent years, it is clear that the root reasons of low reliability of gas protection should be outdated protective principle and inaccurate threshold value.In order to analyze the mechanism of gas protection mal-operation and provide a proper method to set the threshold value of gas protection, the transient process and the related physics essence of gas protection mal-operation resulted from external fault is analyzed. In the process of external short circuit, electromagnetic force of windings caused by short-circuit impulse current is so huge that the whole windings will generate intense vibration. Meanwhile, insulating oil in transformer will rush into the oil tube by squeezing and shaking, which lead to gas protection mal-operation eventually. From the above analysis, it is illustrated that the process of gas protection mal-operation caused by external short circuit is a multi-physical field coupled process. To simulate the complicated process veritably and accurately, an oil transformer model based on multi-physics field is established in ANSYS Workbench. Firstly, the short circuit electromagnetic force of windings is calculated via the magnetic field analysis, which will be loaded into the dynamic mechanical analysis of windings. Thus stress distribution and strain characteristics, which can describe vibration of windings, is calculated and loaded into the flow field analysis over a defined interface. Eventually, the oil flow velocity through gas relay in the oil tube is achieved by a hydrodynamic model.Simulations with different external fault current are conducted to study the relationship between the oil flow velocity and external fault current in the windings. The results show that factors which affect the oil flow velocity is different between internal fault and

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“…The discussed approaches are reliable tool for the detection of the transformer winding displacement and deformation, but determining the extent of transformer winding deformation without considering its location leads to unreliable estimations [24]. This localization feature, although still in its infancy, makes this tool unique and worthy of further scrutiny.…”

Section: Introductionmentioning

confidence: 98%

Determination of Transformer Winding Radial Deformation Using UWB System and Hyperboloid Method

et al. 2015

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On-line monitoring of the transformer winding using electromagnetic waves has recently been proposed for the detection of mechanical defects of transformer winding. In this paper, a new method, which uses the UWB radar measurement results and is based on locus of objects in the space, is proposed for the three-dimensional positioning of transformer winding radial deformation location. The proposed experimental set-up for this method named "Hyperboloid method" is modeled using CST (Computer Simulation Technology) software. In this paper, Vivaldi antennas suitable for measurements in environments with multi-path, are used and the analysis is performed in the time domain. The simulation results show that the exact threedimensional location of the radial deformation can be detected with a good accuracy.

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A new algorithm for localization of radial deformation and determination of deformation extent in transformer windings

Cited by 37 publications

References 8 publications

Transformer winding faults classification based on transfer function analysis by support vector machine

Transformer winding faults classification based on transfer function analysis by support vector machine

The simulation and analysis on transformer gas Protection Maloperation based on multiple physical fields coupling

Determination of Transformer Winding Radial Deformation Using UWB System and Hyperboloid Method

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