A New Online Method Based on Leakage Flux Analysis for the Early Detection and Location of Insulating Failures in Power Transformers: Application to Remote Condition Monitoring

Cabanas, Mans F.; Melero, M.G.; Pedrayes, F.; Rojas, C.H.; Orcajo, Gonzalo A.; Cano, José M.; Iglesias, Javier G.; Nuño, F.

doi:10.1109/tpwrd.2006.881620

Cited by 51 publications

(25 citation statements)

References 22 publications

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“…There have been many attempts in the literature to understand the impact of various mechanical faults on the FRA signature [11][12][13][14][15]. All of these studies have been performed on a high frequency transformer equivalent circuit model or by using the equivalent transfer function through altering the value of particular parameters to simulate various mechanical faults [16][17][18]. None of the papers in the literatures have precisely investigated the percentage change in various circuit parameters due to particular mechanical fault levels.…”

Section: Introductionmentioning

confidence: 99%

Improved power transformer winding fault detection using FRA diagnostics – part 1: axial displacement simulation

Hashemnia

Abu-Siada

Islam

2015

IEEE Trans. Dielect. Electr. Insul.

131

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Frequency response analysis (FRA) has become a widely accepted tool to detect power transformer winding deformation due to the development of FRA test equipment. Because FRA relies on graphical analysis, interpretation of its signature is a very specialized area that calls for skilled personnel, as so far, there is no reliable standard code for FRA signature identification and quantification. Many researchers investigated the impact of various mechanical winding deformations on the transformer FRA signature using simulation analysis by altering particular electrical parameters of the transformer equivalent electrical circuit. None of them however, investigated the impact of various physical fault levels on the corresponding change in the equivalent circuit parameters. In this paper, the physical geometrical dimension of a single-phase transformer is simulated using 3D finite element analysis to emulate the real transformer operation. A physical axial displacement of different fault levels is simulated in both low voltage and high voltage windings. The impact of each fault level on the electrical parameters of the equivalent circuit is investigated. A key contribution of this paper is the charts it introduces to correlate various axial displacement levels with the percentage change of all transformer equivalent circuit parameters due to the axial displacement fault. In contrary with other researchers who only considered mutual inductance between low voltage and high voltage windings, simulation resultsshown in this paper reveal that other circuit parameters should be changed by a particular percentage to accurately simulate particular fault level of transformer winding axial displacement. Results of this paper aid to precisely simulating winding axial displacement using transformer equivalent circuit that facilitates accurate qualitative and quantitative analysis of transformer FRA signatures.

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Section: Introductionmentioning

confidence: 99%

Improved power transformer winding fault detection using FRA diagnostics – part 1: axial displacement simulation

Hashemnia

Abu-Siada

Islam

2015

IEEE Trans. Dielect. Electr. Insul.

131

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“…The maximum temperature rise for transformer windings should not exceed the values given in Table 1 regardless of the type of temperature measurement method used, except that the resistance measurement or an embedded temperature sensor can be used for coils and windings wherever possible (IEC STANDARD, 2005-2007. Also surface temperature sensor means the temperature is measured with non-embedded sensors at the hottest accessible spot of the outer surface of the windings.…”

Section: Limitations Of Temperature Risementioning

confidence: 99%

“…A real-time testing of WPT-based protection algorithm has been presented in Saleh and Rahman (2005) for three phase transformers. First time a new online method which is based on leakage flux analysis for the early detection and location of insulating failures in power transformers through an application of remote condition monitoring is applied in Cabanas et al (2007). Winding displacement during short circuits is presented in Palani et al (2008).…”

Section: Introductionmentioning

confidence: 99%

Low cost digital measurement system for determination of temperature rise in dry type transformer

Murugesan¹,

Paramasivam²,

Krishnan³

2011

IJIT

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This paper describes a fully automated method of measuring the cold and hot resistance of a transformer. The measuring scheme was developed by using a code composer studio (CCS) environment, TMS320F2812 digital signal processor and external interface hardware. The CCS allows a high degree of software modularity and provides the features that are required for sensor zero adjustment, data acquisition through ADC and analysis, and automated presentation of results. Furthermore, the experimental setup described in this paper could be used to obtain the cold and hot resistance of other electromechanical devices. The real-time implementation of cold and hot resistance measured setup and the results from a test on transformer are presented in the paper.

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“…Application of wavelet for interturn fault diagnosis is reported in [25]. Leakage flux analysis for inter-turn fault identification is proposed in [26]. However, voltage induced is very low and in high voltage transformer application, it may create difficulties in detecting presence of fault.…”

Section: Introductionmentioning

confidence: 99%

A Novel Offline to Online Approach to Detect Transformer Interturn Fault

Venikar

Umre

Suryawanshi

2016

IEEE Trans. Power Delivery

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This paper presents an approach based on use of transformer no-load and light load current harmonic analysis to detect presence of inter-turn fault at incipient stage. The presence of fault is detected by performing a trend analysis of specific harmonic components and primary current magnitude. Transformer testing methods suffer from a common drawback of off-line nature and require expert opinion for accurate condition assessment. This paper presents a method that transforms noload current harmonic analysis which is a special test for transformer testing into an on-line method at light load conditions. Thus, the necessity of complete shutdown and dependency on expert opinion is eliminated as it requires only one reference signature per phase. Proposed approach is verified for different vector groups of 3-phase core type transformer and three independent units connected in star-star and for fault on low voltage or high voltage winding of transformer. Experimentation presents, that proposed approach can detect presence of fault at an incipient stage involving less than 2% of turns and fault current up-to 1 p.u. A case study is presented that validates the method for transformer of higher power rating.

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A New Online Method Based on Leakage Flux Analysis for the Early Detection and Location of Insulating Failures in Power Transformers: Application to Remote Condition Monitoring

Cited by 51 publications

References 22 publications

Improved power transformer winding fault detection using FRA diagnostics – part 1: axial displacement simulation

Improved power transformer winding fault detection using FRA diagnostics – part 1: axial displacement simulation

Low cost digital measurement system for determination of temperature rise in dry type transformer

A Novel Offline to Online Approach to Detect Transformer Interturn Fault

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