Differential protection scheme for power transformers using matched wavelets

Roy, Arpita; Singh, Devender; Misra, Rakesh R.; Singh, Amit

doi:10.1049/iet-gtd.2018.6305

Cited by 14 publications

(3 citation statements)

References 34 publications

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“…Category 4: Methods based on signal transform. Benefiting from their time-frequency analysis ability, signal transform algorithms are widely used to discriminate inrush currents and internal fault currents [15], [16], [17], [18], [19], [20].…”

Section: Introductionmentioning

confidence: 99%

Countermeasure to Prevent Transformer Differential Protection From False Operations

et al. 2023

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The reliability of the transformer differential protection is under threat from multiple interferences, including the inrush condition, the current transformer saturation condition, and the arc fault condition. For improvement, a new method is proposed to discriminate fault conditions and other non-fault conditions. Firstly, the proposed method identifies the unidirectional inrush via unidirectional index, since only it exhibits unidirectional characteristic. Then, the remaining signals are classified by the quartering-based similarity index. The quartering-based similarity index is obtained by quartering segmented fitting to overcome the drawback of overall fitting. Simulation results indicate that the proposed method is able to effectively avoid misjudgments caused by aforementioned interferences. Actual experimental tests, field data tests, and comparison analyses demonstrate its engineering adaptability and superiority.

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Section: Introductionmentioning

confidence: 99%

Countermeasure to Prevent Transformer Differential Protection From False Operations

et al. 2023

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“…1) G1: harmonic restraint [1], [2]; 2) G2: induced voltage, flux linkage, and instantaneous inductance [8], [9]; 3) G3: pattern recognition, artificial intelligence, and fuzzy logic [10]-[14]; 4) G4: time-frequency analysis [15]- [19]; 5) G5: ratio-based algorithms [20]- [22]; 6) G6: statistical and similarity indices [23]- [27]. More or less, these methods have successfully dealt with some of the challenges.…”

Section: Introductionmentioning

confidence: 99%

“…Being sensitive to noise and requiring a high sampling rate are the drawbacks of the algorithms in (G4) [15]- [19].…”

Section: Introductionmentioning

confidence: 99%

Differential Protection Algorithm Founded on Kalman Filter-Based Phase Tracking

Tajdinian

Samet

Ali

2022

IEEE Trans. Instrum. Meas.

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Improving the Differential Protection of Power Transformers Based on Clarke Transform and Fuzzy Systems

Hosseinimoghadam

Dashtdar

2021

J Control Autom Electr Syst

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Differential protection scheme for power transformers using matched wavelets

Cited by 14 publications

References 34 publications

Countermeasure to Prevent Transformer Differential Protection From False Operations

Countermeasure to Prevent Transformer Differential Protection From False Operations

Differential Protection Algorithm Founded on Kalman Filter-Based Phase Tracking

Improving the Differential Protection of Power Transformers Based on Clarke Transform and Fuzzy Systems

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