Correlation Analysis of Waveforms in Nonsaturation Zone-Based Method to Identify the Magnetizing Inrush in Transformer

Bi, Dongxue; Zhang, X.A.; Yang, Honglian; Yu, Guo-mei; Wang, X.H.; Wang, W.J.

doi:10.1109/tpwrd.2007.900147

Cited by 36 publications

(21 citation statements)

References 8 publications

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“…Asymmetry of the inrush current is decreased by saturation of current transformers (CTs) when dead angles disappear. As a result, some improved methods, such as short-time correlation [12], correlation analysis of waveform [13,14], the morphological scheme [15], and methods based on error estimation [16], have been proposed to obtain better identification results. These algorithms have more than one cycle of inherent delay.…”

Section: Transformer Protection Using Analysis Of Waveforms 205mentioning

confidence: 99%

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Transformer Differential Protection Using Geometrical Structure Analysis of Waveforms

Fani¹,

Golshan²,

Saghaian-nejad³

2011

Electric Power Components and Systems

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This article uses a different geometrical structure of inrush current with respect to that of fault current for the identification of transformer magnetizing inrush. For this purpose, the differential current is considered as a stochastic signal, and two schemes based on stochastic analysis of differential currents are proposed. The first scheme converts changes in the slope of inrush and fault currents, which is the main difference between converting them into a quantitative description by using the skewness concept of frequency curves. The second scheme introduces a feature criterion based on the kurtosis concept of frequency curves to identify the inrush from the fault current. This criterion quantifies another major difference between inrush and fault currents, which is the peakedness of the differential currents. Simulation studies and experimental results justify that the proposed schemes are able to identify inrush currents reliably, even those with a low second harmonic component. The schemes correctly open the differential protection shortly for the internal fault in operation energized with a fault, even in the case of an internal fault current with a high second harmonic component.

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Section: Transformer Protection Using Analysis Of Waveforms 205mentioning

confidence: 99%

“…For this reason, a 4 is used, as defined in Eq. (14), to calculate the relative kurtosis between sequences X and Y :…”

Section: Kurtosis-based Schemementioning

confidence: 99%

Transformer Differential Protection Using Geometrical Structure Analysis of Waveforms

Fani¹,

Golshan²,

Saghaian-nejad³

2011

Electric Power Components and Systems

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“…In order to overcome the drawbacks of conventional method based on the second harmonic, a number of new methods have been developed for transformer protection, including equivalent circuit equation method [3], waveform correlation [4], wavelet analysis [5]. However, all of these methods still have shortcomings.…”

Section: Introductionmentioning

confidence: 99%

Fast identification of inrush current using a weighted morphological approach

2013

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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This paper proposes an approach using weighted mathematical morphology (WMM) to effectively identify inrush current. The identification is based on the feature that the waveform of inrush current is quite different from sinusoid whereas internal fault current is nearly sinusoidal. Compared with the traditional method based on the second harmonic, the proposed approach reduces the data window from a cycle to half a cycle, leading to faster identification. In order to verify the performance of the proposed approach, data collected from laboratory test are employed in simulation studies. The simulation results demonstrate that the proposed approach can reduce the identification time to a great extent, and achieve a better accuracy rate.Index Terms-Inrush identification, weighted mathematical morphology, internal fault, power transformer.

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“…Asymmetry of inrush current is decreased by saturation of current transformers when dead angles disappear. As a result, some improved methods such as short-time correlation transform [13], correlation analysis of waveform [14,15], morphological Scheme [16], and method based on error estimation [17] have been proposed to obtain better identification results.…”

Section: Introductionmentioning

confidence: 99%

A frequency curves analysis-based method for transformers differential protection

Fani

Golshan

Saghaian-nejad

2010

Euro. Trans. Electr. Power

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SUMMARYThis paper uses different geometrical structure of inrush current with respect to that of fault current for the identification of transformer magnetizing inrush. For this purpose, the differential current is considered as a stochastic signal, and a scheme based on stochastic analysis of differential currents is proposed. The scheme converts changes in slope of inrush and fault currents as a major feature of difference between them into a quantitative description by using the skewness concept of frequency curves. Skewness is the degree of asymmetry of a curve, usually taken relative to a normal curve. Internal faults are discriminated from inrush conditions by investigating the signs of the skewness coefficients corresponding to three-phase differential currents. Various experimental cases verify the dependability, security, and fast operation of the proposed algorithm.

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Correlation Analysis of Waveforms in Nonsaturation Zone-Based Method to Identify the Magnetizing Inrush in Transformer

Cited by 36 publications

References 8 publications

Transformer Differential Protection Using Geometrical Structure Analysis of Waveforms

Transformer Differential Protection Using Geometrical Structure Analysis of Waveforms

Fast identification of inrush current using a weighted morphological approach

A frequency curves analysis-based method for transformers differential protection

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