A novel methodology for transformer low-frequency model parameters identification

Herrera, Wilder; Aponte, Guillermo; Pleite, J.; González-García, Carlos

doi:10.1016/j.ijepes.2013.05.044

Cited by 12 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, some methods have been developed for interpretation of the winding frequency response results. Herrera et al [5] describe a methodology to estimate the parameters of a low-frequency model of a three-phase transformer, by using data from its frequency response. Wang et al [6,7] develop a low frequency of model of a transformer for FRA simulation to aid the understanding and interpretation of the measured results, especially when used to identify the features which are indicative for winding displacement and deformation.…”

Section: Introductionmentioning

confidence: 99%

Statistical approach for interpretation of power transformers frequency response analysis results

Behjat¹,

Mahvi²

2015

IET Science, Measurement & Technology

View full text Add to dashboard Cite

In spite of many research efforts on fault diagnosis using frequency response analysis (FRA) method, there is still no universally accepted and systematic interpretation technique for these tests and 'expert opinion' is often sought when any damaging trend is observed as a result of fault occurrence. This study deals with statistical criteria for interpretation of the FRA results and presents a number of statistical and mathematical indicators that have not been used so far. A measurement setup accompanied by a transformer as a test object, on which winding faults are imposed, completes the test setup for performing the FRA measurements. The parameters are applied to the experimental FRA measurements and the results are compared by a simple normalising equation. Finally, the indicators which are adding more objectivity and transparency to interpretation of the FRA results are presented. Sweep frequency response analysis (SFRA) method is used in this study because of its efficiency and simplicity. It was found through this research work that F-test, which introduced in this study for the first time, has higher sensitivity, and the differences between the normal and faulty responses of the transformers' windings is more reflected in this parameter compared with the other ones.

show abstract

Section: Introductionmentioning

confidence: 99%

Statistical approach for interpretation of power transformers frequency response analysis results

Behjat¹,

Mahvi²

2015

IET Science, Measurement & Technology

View full text Add to dashboard Cite

show abstract

“…For the power transformer, the parameters that compose it correspond to: Resistances of ohmic losses in the copper for both primary and secondary, R L and R H , respectively for each of the phases; total inductance of core dispersion per phase L sh ; resistance losses in the iron R M and magnetization inductance L M for each of the phases; homopolar sequence inductance L h ; capacitive couplings between phases and ground on high and low voltage side C H and C L , respectively and capacitive couplings between C HL windings (Herrera et al, 2013).…”

Section: Auxilliary Transformer Parametersmentioning

confidence: 99%

Electrical Modeling of the Induced Voltage Test in Power Transformers for the Analysis of Frequency Response

Niquepa¹,

Galeano²,

Patiño³

et al. 2020

J. Eng. Appl. Sci.

View full text Add to dashboard Cite

The structure of the induced voltage test model for low frequency transients is described and presented from its components (generator, auxiliary and power transformer). The performed test procedures are perfomed to estimate the model parameters along with the topology of their connection. Finally, the model is implemented in the transient analysis software ATP and a frequency response of the test is obtained. This allows to identify the critical frequencies that cause resonant states and cause overvoltage during the test which facilitates the establishment of application of safety criteria for both operators and the equipment.

show abstract

Field-winding fault detection in synchronous machines with static excitation through frequency response analysis

Blánquez

Platero

Rebollo

et al. 2015

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

a b s t r a c tFrequency Response Analysis is a well-known technique for the diagnosis of power transformers. Currently, this technique is under research for its application in rotary electrical machines. This paper presents significant results on the application of Frequency Response Analysis to fault detection in field winding of synchronous machines with static excitation. First, the influence of the rotor position on the frequency response is evaluated. Secondly, some relevant test results are shown regarding ground fault and inter-turn fault detection in field windings at standstill condition. The influence of the fault resistance value is also taken into account. This paper also studies the applicability of Frequency Response Analysis in fault detection in field windings while rotating. This represents an important feature because some defects only appear with the machine rated speed. Several laboratory test results show the applicability of this fault detection technique in field windings at full speed with no excitation current.

show abstract

A novel methodology for transformer low-frequency model parameters identification

Cited by 12 publications

References 14 publications

Statistical approach for interpretation of power transformers frequency response analysis results

Statistical approach for interpretation of power transformers frequency response analysis results

Electrical Modeling of the Induced Voltage Test in Power Transformers for the Analysis of Frequency Response

Field-winding fault detection in synchronous machines with static excitation through frequency response analysis

Contact Info

Product

Resources

About