Power Differential Method for Discrimination between Fault and Magnetizing Inrush Current in Transformers

Yabe, Kuniaki

doi:10.1541/ieejpes1990.116.3_293

Cited by 18 publications

(19 citation statements)

References 3 publications

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“…When the transformer is energized plentiful harmonics will appear, the waveform will be distorted,interrupted and unsymmetrical [13,14]. A special algorithm can be used for discrimination of the inrushcurrent.…”

Section: Inrush Current Detection With Waveform Distortionmentioning

confidence: 99%

New general method for digital differential protection relay

Habibabadi

2011

2011 IEEE Power Engineering and Automation Conference

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In This paper, computational aspects of a digital transformer differential relay is described. DPFC percent differential protection reflects deviation of load condition which can perform a sensitive protection for the transformer. The ability of Inrush Current Detection with Waveform Distortion Discrimination Principle is discussed and demonstrated. Test results of the proposed algorithm highlight the abilities of the algorithm. Test results for external fault, internal fault and inrush current are presented in the paper.

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Section: Inrush Current Detection With Waveform Distortionmentioning

confidence: 99%

New general method for digital differential protection relay

Habibabadi

2011

2011 IEEE Power Engineering and Automation Conference

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“…Bu yontemlerden bazilarl diferansiyel akim harmoniklerini kullanmaktadir. Hesaplanan harmonik degerler onceden egitilmis bir yapay sinir aginin (YSA) veya bulanik mantik kuimesinin giris vektorui olarak kullanilmaktadir [6], [7]. Bu tuir callsmalarda temel sorun ok farkli callsma kosullarini temsil eden yuizlerce bilgisayar benzesimlerinin yapilmasi ve YSA'nin veya bulanik mantik kumesinin bu verilere dayanarak olusturulmasidir.…”

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Detection of Transformer Internal Faults by Using Independent Component Analysis

Kılıç

Özgönenel

2007

2007 IEEE 15th Signal Processing and Communications Applications

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Ozetce Bu callsmada transformator ic ariza ve mnknatislanma akimlarinin bagimsiz bilesenler analizi (BBA) ile aylrt edilmesi amaclanmistir. Onerilen yontemin basarisini sinamak amaci ile deneysel amacll ozel bir Ui5 fazli transformator uizerinde cok sayida gercek zamanli deneysel callsmalar gerceklestirilmistir. Deneysel callsmalar sarimsarim ic arizalarl ve enerjilenme durumlarini kapsamaktadir. Transformatoruin fark (Id) ve sinirlama (Ir) akimlarl hlzll BBA ile q5zUmlenmis ve yazilim dili olarak MATLAB TM kullanilmistir. Onerilen teknik ile transformator ic arizalari etkin bir bicimde aylrt edilmistir. AbstractIn this work it is aimed to detect transformer internal fault and magnetizing inrush currents by using independent component analysis (ICA). A laboratory transformer is used for real-time experiments to examine the suggested technique. Laboratory experiments cover turn to turn faults performed in primary and secondary windings and inrush conditions. Diferential (Id) and restraint (Ir) currents are analyzed by ICA and MATLAB TM is used for required calculations. Transformer internal faults can be detected effectively with the proposed method.

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“…Plenty of literatures have suggested methods to detect internal fault from inrush currents. As shown in Figure , these methods are classified into 7 groups based on the input signals and the procedure of their algorithm as follows: (a) methods that use harmonic components of the differential current, (b) methods based on utilizing the wave shapes of differential current, (c) methods based on the flux signals, (d) methods based on power calculating, (e) methods based on voltage and current signals, (f) methods based on transformer inductance, and (g) methods based on artificial intelligence techniques …”

Section: Introductionmentioning

confidence: 99%

Identifying internal fault from magnetizing conditions in power transformer using the cascaded implementation of wavelet transform and empirical mode decomposition

Sahebi

Samet

Ghanbari

2017

Int Trans Electr Energ Syst

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Summary In this paper, by decomposing high‐frequency band of differential current using wavelet transform and giving the extracted features to the empirical mode decomposition method, internal faults from magnetization conditions in power transformers are discriminated. The merit of the suggested method is validated by various simulation results using PSCAD and practical data set gathered from a laboratory 3‐phase transformer. Internal faults could be precisely discriminated from magnetizing current in half cycle of the fundamental frequency; this is one advantage of the method. Also, an innovative technique is suggested to tackle current transformer saturation negative impacts on differential relays. At end, the method is assessed and compared with some other well‐known discrimination methods by plenty of simulations and experiments.

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Power Differential Method for Discrimination between Fault and Magnetizing Inrush Current in Transformers

Cited by 18 publications

References 3 publications

New general method for digital differential protection relay

New general method for digital differential protection relay

Detection of Transformer Internal Faults by Using Independent Component Analysis

Identifying internal fault from magnetizing conditions in power transformer using the cascaded implementation of wavelet transform and empirical mode decomposition

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